METHOD AND SYSTEM FOR VIDEO PROCESSING AND SIGNALING IN TRANSITIONAL VIDEO SCENE

Abstract

Aspects of encoding and decoding video content are provided. An encoding system detects a scene change by identifying a first picture among a sequence of pictures that corresponds to a last picture of a first scene, identifying a second picture among the sequence of pictures that corresponds to a first picture of a second scene, and determining that one or more pictures that are between the first picture and the second picture in the sequence of pictures correspond to an input transition scene between the first scene and the second scene. The encoded video content indicates an existence of the input transition scene and information for reproducing a transition scene. A decoding system generates the transition scene that corresponds to the input transition scene based on the received indication of the existence of the input transition scene and the information for reproducing the transition scene.

Description

TECHNICAL FIELD

The present disclosure describes embodiments generally related to video coding.

BACKGROUND

The background description provided herein is for the purpose of generally presenting the context of the disclosure. Work of the presently named inventors, to the extent the work is described in this background section, as well as aspects of the description that may not otherwise qualify as prior art at the time of filing, are neither expressly nor impliedly admitted as prior art against the present disclosure.

Video coding and decoding can be performed using inter-picture prediction with motion compensation. Uncompressed digital video can include a series of pictures, each picture having a spatial dimension of, for example, 1920×1080 luminance samples and associated chrominance samples. The series of pictures can have a fixed or variable picture rate (informally also known as frame rate), of, for example 60 pictures per second or 60 Hz. Uncompressed video has significant bitrate requirements. For example, 1080p60 4:2:0 video at 8 bit per sample (1920×1080 luminance sample resolution at 60 Hz frame rate) requires close to 1.5 Gbit/s bandwidth. An hour of such video requires more than 600 GByte of storage space.

One purpose of video coding and decoding can be the reduction of redundancy in the input video signal, through compression. Compression can help reducing aforementioned bandwidth or storage space requirements, in some cases by two orders of magnitude or more. Both lossless and lossy compression, as well as a combination thereof can be employed. Lossless compression refers to techniques where an exact copy of the original signal can be reconstructed from the compressed original signal. When using lossy compression, the reconstructed signal may not be identical to the original signal, but the distortion between original and reconstructed signal is small enough to make the reconstructed signal useful for the intended application. In the case of video, lossy compression is widely employed. The amount of distortion tolerated depends on the application; for example, users of certain consumer streaming applications may tolerate higher distortion than users of television contribution applications. The compression ratio achievable can reflect that: higher allowable/tolerable distortion can yield higher compression ratios.

A video encoder and decoder can utilize techniques from several broad categories, including, for example, motion compensation, transform, quantization, and entropy coding.

Video codec technologies can include techniques known as intra coding. In intra coding, sample values are represented without reference to samples or other data from previously reconstructed reference pictures. In some video codecs, the picture is spatially subdivided into blocks of samples. When all blocks of samples are coded in intra mode, that picture can be an intra picture. Intra pictures and their derivations such as independent decoder refresh pictures, can be used to reset the decoder state and can, therefore, be used in as the first picture in a coded video bitstream and a video session, or as a still image. The samples of an intra block can be exposed to a transform, and the transform coefficients can be quantized before entropy coding. Intra prediction can be a technique that minimizes sample values in the pre-transform domain. In some cases, the smaller the DC value after a transform is, and the smaller the AC coefficients are, the fewer bits are required at a given quantization step size to represent the block after entropy coding.

Traditional intra coding such as known from, for example MPEG-2 generation coding technologies, does not use intra prediction. However, some newer video compression technologies include techniques that attempt, from, for example, surrounding sample data and/or metadata obtained during the encoding/decoding of spatially neighboring, and preceding in decoding order, blocks of data. Such techniques are henceforth called “intra prediction” techniques. Note that in at least some cases, intra prediction is only using reference data from the current picture under reconstruction and not from reference pictures.

There can be many different forms of intra prediction. When more than one of such techniques can be used in a given video coding technology, the technique in use can be coded in an intra prediction mode. In certain cases, modes can have submodes and/or parameters, and those can be coded individually or included in the mode codeword. Which codeword to use for a given mode/submode/parameter combination can have an impact in the coding efficiency gain through intra prediction, and so can the entropy coding technology used to translate the codewords into a bitstream.

A certain mode of intra prediction was introduced with H.264, refined in H.265, and further refined in newer coding technologies such as joint exploration model (JEM), versatile video coding (VVC), and benchmark set (BMS). A predictor block can be formed using neighboring samples values belonging to already available samples. Sample values of neighboring samples are copied into the predictor block according to a direction. A reference to the direction in use can be coded in the bitstream or may itself be predicted.

Referring to FIG. 1, depicted in the lower right is a subset of nine predictor directions known from H.265's 35 possible predictor directions. The point where the arrows converge (101) represents the sample being predicted. The arrows represent the direction from which the sample is being predicted. For example, arrow (102) indicates that sample (101) is predicted from a sample or samples to the upper right, at a 45 degree angle from the horizontal. Similarly, arrow (103) indicates that sample (101) is predicted from a sample or samples to the lower right of sample (101), in a 22.5 degree angle from the horizontal.

Still referring to FIG. 1, on the top left there is depicted a square block (104) of 4×4 samples (indicated by a dashed, boldface line). The square block (104) includes 16 samples, each labelled with an “S”, its position in Y dimension (e.g., row index) and its position in X dimension (e.g., column index). For example, sample S21 is the second sample in the Y dimension (from the top) and the first (from the left) sample in the X dimension. Similarly, sample S44 is the fourth sample in block (104) in both the Y and X dimensions. As the block is 4×4 samples in size, S44 is at the bottom right. Further shown are reference samples that follow a similar numbering scheme. A reference sample is labelled with an R, its Y position (e.g., row index) and X position (column index) relative to block (104). In both H.264 and H.265, prediction samples neighbor the block under reconstruction; therefore no negative values need to be used.

Intra picture prediction can work by copying reference sample values from the neighboring samples as appropriated by the signaled prediction direction. For example, assume the coded video bitstream includes signaling that, for this block, indicates a prediction direction consistent with arrow (102)—that is, samples are predicted from a prediction sample or samples to the upper right, at a 45 degree angle from the horizontal. In that case, samples S41, S32, S23, and S14 are predicted from reference sample R05. Sample S44 is then predicted from reference sample R08.

In certain cases, the values of multiple reference samples may be combined, for example through interpolation, in order to calculate a reference sample; especially when the directions are not evenly divisible by 45 degrees.

The number of possible directions has increased as video coding technology has developed. In H.264 (year 2003), nine different direction could be represented. That increased to 33 in H.265 (year 2013), and JEM/VVC/BMS, at the time of disclosure, can support up to 65 directions. Experiments have been conducted to identify the most likely directions, and certain techniques in the entropy coding are used to represent those likely directions in a small number of bits, accepting a certain penalty for less likely directions. Further, the directions themselves can be sometimes be predicted from neighboring directions used in neighboring, already decoded, blocks.

FIG. 2 is a schematic 201 that depicts 65 intra prediction directions according to JEM to illustrate the increasing number of prediction directions over time.

The mapping of an intra prediction directions bits in the coded video bitstream that represent the direction can be different from video coding technology to video coding technology; and can range, for example, from simple direct mappings of prediction direction to intra prediction mode to codewords, to complex adaptive schemes involving most probable modes and similar techniques.

SUMMARY

Aspects of the disclosure provide methods and apparatuses for video decoding. In some embodiments, an apparatus for video decoding includes processing circuitry.

In an example, the method includes decoding encoded video content from an encoding system, wherein the encoding system performs a scene change detection process that includes identifying a first picture among a sequence of pictures that corresponds to a last picture of a first scene, identifying a second picture among the sequence of pictures that corresponds to a first picture of a second scene, and determining that one or more pictures that are between the first picture and the second picture in the sequence of pictures correspond to an input transition scene between the first scene and the second scene, and the received encoded video content is encoded without encoding all of the pictures of the input transition scene, and includes an indication of an existence of the input transition scene and information for reproducing a transition scene that corresponds to the input transition scene; generating the transition scene that corresponds to the input transition scene based on the received indication of the existence of the input transition scene and the information for reproducing the transition scene; and outputting video content that includes the transition scene that corresponds to the input transition scene in a sequence that is between the first scene and the second scene.

In an example, the method further includes generating a cross-fade transition scene, for reproducing the transition scene that corresponds to the input transition scene, based on the information for reproducing the transition scene indicating a predetermined fading model.

In an example, a time instance for the first picture is t=0, a time instance for the second picture is t=n, the input transition scene occupies n−1 time instances from t=1 to t=n−1, each image F[t] within the cross-fade transition scene is defined as: F[t]=A*(1−s[t])+K*s[t], where

$s\left[t\right]\mathrm{is}\text{:}s\left[t\right]=\{\begin{array}{cc}0,& t=0\\ t\text{/}n,& 0<t<n\\ 1,& t=n\end{array},$

wherein “A” is the first frame and “K” is the second frame.

In an example, a time instance for the first picture is t=0, a time instance for the second picture is t=n, the input transition scene occupies n−1 time instances from t=1 to t=n−1, each image F[t] within the cross-fade transition scene is defined as: F[t]=A*(1−s[t])+K*s[t], where

$s\left[t\right]\mathrm{is}\text{:}s\left[t\right]=\{\begin{array}{cc}0,& t=0\\ {\left(t\text{/}n\right)}^2,& 0<t<n\\ 1,& t=n\end{array},$

wherein “A” is the first picture and “K” is the second picture.

In an example, a time instance for the first picture is t=0, a time instance for the second picture is t=n, the input transition scene occupies n−1 time instances from t=1 to t=n−1, each image F[t] within the cross-fade transition scene is defined as: F[t]=A*(1−s[t])+K*s[t], where

$s\left[t\right]\mathrm{is}\text{:}s\left[t\right]=\{\begin{array}{cc}0,& t=0\\ {\left(t\text{/}n\right)}^{1\text{/}2},& 0<t<n\\ 1,& t=n\end{array},$

wherein “A” is the first picture and “K” is the second picture.

In an example, the predetermined fading model is based on a predetermined animated transition.

In an example, the predetermined animated transition is one of a morph animation, a fade animation, a push animation, a wipe animation, a split animation, a reveal animation, a shape animation, and an uncover animation.

In an example, the method further includes receiving an indication of the predetermined animated transition used to replace the input transition scene, along with the encoded video content, as the information for reproducing the transition scene that corresponds to the input transition scene.

In an example, the predetermined animated transition is determined at the encoding system based on the input transition scene being compared to a plurality of pattern-generated content that are each generated based respectively on at least one of the predetermined animated transitions, and the predetermined animated transition is based on the pattern-generated content which has a highest similarity to the input transition scene.

In an example, the predetermined animated transition is determined at the encoding system based on an assessment of distortion between the input transition scene and each of the plurality of pattern-generated content.

In an example, the scene change detection process includes determining that the one or more picture that are between the first picture and the second picture in the sequence of picture correspond to an input transition scene between the first scene and the second scene when a duration of the one or more pictures is less than a predetermined threshold.

In an example, the scene change detection process includes determining that the one or more pictures that are between the first picture and the second picture in the sequence of frames correspond to an input transition scene when a duration of the first scene and the second scene are each greater than a predetermined threshold.

In an example, the indication of the existence of the input transition scene includes: a signal indicating that the second frame is the first image of the second scene along with an indication of a duration of the input transition scene.

In an example, the indication of the duration of the input transition scene is based on a difference between a picture order count (POC) between the second picture and the first picture.

In an example, the indication of the duration of the input transition scene is based on a duration time value being included in the header of the second picture.

In an example, the signal is included in a header of the second picture.

In an example, the signal is included a Supplementary Enhancement Information (SEI) message.

In an example, the second picture is decoded prior to the generation of the transition scene that corresponds to the input transition scene, and the transition scene that corresponds to the input transition scene is output prior to the second scene being outputted in the outputted video content.

In an example, an apparatus is provided that includes processing circuitry configured to decode encoded video content from an encoding system, wherein the encoding system performs a scene change detection process that includes identifying a first picture among a sequence of pictures that corresponds to a last picture of a first scene, identifying a second picture among the sequence of pictures that corresponds to a first picture of a second scene, and determining that one or more pictures that are between the first picture and the second picture in the sequence of pictures correspond to an input transition scene between the first scene and the second scene, and the received encoded video content is encoded without encoding all of the pictures of the input transition scene, and includes an indication of an existence of the input transition scene and information for reproducing a transition scene that corresponds to the input transition scene; generate the transition scene that corresponds to the input transition scene based on the received indication of the existence of the input transition scene and the information for reproducing the transition scene; and output video content that includes the transition scene that corresponds to the input transition scene in a sequence that is between the first scene and the second scene.

In an example, a non-transitory computer readable medium storing instructions, is provided, which when executed by a computer for video decoding cause the computer to perform decoding encoded video content from an encoding system, wherein the encoding system performs a scene change detection process that includes identifying a first picture among a sequence of pictures that corresponds to a last picture of a first scene, identifying a second picture among the sequence of pictures that corresponds to a first picture of a second scene, and determining that one or more pictures that are between the first picture and the second picture in the sequence of pictures correspond to an input transition scene between the first scene and the second scene, and the received encoded video content is encoded without encoding all of the pictures of the input transition scene, and includes an indication of an existence of the input transition scene and information for reproducing a transition scene that corresponds to the input transition scene; generating the transition scene that corresponds to the input transition scene based on the received indication of the existence of the input transition scene and the information for reproducing the transition scene; and outputting video content that includes the transition scene that corresponds to the input transition scene in a sequence that is between the first scene and the second scene.

BRIEF DESCRIPTION OF THE DRAWINGS

Further features, the nature, and various advantages of the disclosed subject matter will be more apparent from the following detailed description and the accompanying drawings in which:

FIG. 1 is a schematic illustration of a subset of intra prediction modes in accordance with H.265.

FIG. 2 is an illustration of intra prediction directions according to JEM

FIG. 3 is an illustration of two types of scene changes in video content.

FIG. 4 is a schematic illustration of a simplified block diagram of a communication system (400) in accordance with an embodiment.

FIG. 5 illustrates the placement of a video encoder and a video decoder in a streaming environment in accordance with an embodiment.

FIG. 6 is a schematic illustration of a simplified block diagram of a decoder in accordance with an embodiment.

FIG. 7 is a schematic illustration of a simplified block diagram of an encoder in accordance with an embodiment.

FIG. 8 shows a block diagram of a encoder in accordance with another embodiment.

FIG. 9 shows a block diagram of a decoder in accordance with another embodiment.

FIG. 9 shows a schematic diagram (900) that illustrates an example of wide angular modes.

FIG. 10A illustrates a two-step scene change detection method according to an embodiment.

FIG. 10B illustrates a scene change detection method that uses a time window constraint in accordance with an embodiment.

FIG. 11A illustrates a method of encoding video content where a transition scene generation method is used in accordance with an embodiment.

FIG. 11B illustrates a method of encoding video content where predefined models are used to describe a transition scene in accordance with an embodiment.

FIG. 12 illustrates a encoding data format used a bitstream in accordance with an embodiment.

FIG. 13 shows a method of decoding performed by a decoder according to an embodiment of the disclosure.

FIG. 14 is a schematic illustration of a computer system in accordance with an embodiment.

DETAILED DESCRIPTION OF EMBODIMENTS

Screen content video, which may be subject to the above-described video coding techniques, represents a category of non-camera captured, computer generated video content. Contents of this category include animation, computer graphics, desktop screen, and gaming. The popularity of screen content applications, such as online gaming streaming, WiFi display and remote desktop sharing, requires efficient coding of these computer-generated contents. Due to the nature of screen content video (rich in texture and pattern with sharp edges), generally less artifacts than in camera captured content are allowed in order to keep a high level of visual quality. Therefore, a higher compression ratio is anticipated for this type of video. One recent effort to address this issue is the release of the latest version of HEVC screen content coding extensions (HEVC SCC for short). In this standard extension, a few new coding tools are added into the HEVC standard, including intra block copy, palette mode coding, etc. It is reported that HEVC SCC can achieved about 50% bitrate reduction over HEVC when coding screen content materials.

Another typical requirement in screen content video applications is real-time encoding, since these applications are frequently in interactive environments. In video encoding, if the successive frames have no scene change and there are few motions in the video, the effort is low for a video encoder to achieve high compression ratio and fast encoding. This is due to less motion estimation being needed to capture the corresponding objects across successive frames. On the contrary, if a scene change occurs, video contents in two scenes exist in the video sequence. In this disclosure, the first scene before the scene change is referred to as a “previous scene” while the second scene after the scene change is referred to as a “new scene”. The last few frames of the previous scene and the first few frames of the new scene are of interest in embodiments of this disclosure. For video, especially screen content video, there are very little correlations between the last few frames of the previous scene and the first few frames of the new scene. Therefore, lower compression efficiency can be achieved in coding of the first frames in the new scene as compared to coding of video content within the same scene. In addition, the encoder time for compressing the first few frames in the new scene can be longer than normal. Motion estimation will spend more time as there is no good match to be found, if the current frame is from the new scene and the reference frame is from the previous scene.

In a more complex scenario, the scene change does not occur with a simple switch from the content of the previous scene to the one in the new scene. Instead, it involves a period of transition time in which the previous scene fades out and the new scene fades in. Or, there could be some animated effect presented between the content of the previous scene and the new scene, during the transition time. The video content shown during the transition time is referred to as the transition scene in this disclosure. Without knowing the model of how the transition scene is generated, it is difficult to perform video encoding with high efficiency and fast encoding.

In a different application scenario, dramatic content changes also occur in page scrolling in webpage browsing. In this disclosure, this is also regarded as a scene change.

When a scene change occurs, the last picture of the previous scene is defined as the last picture presenting the previous scene without any interference from the other scene or any fading effect. On the other hand, the first picture of the new scene is defined as the first picture presenting the new scene without any interference from the other scene or any fading effect. Pictures in between (but not including) the last picture of the previous scene and (not including) the first picture of the new scene belong to the transition scene. In FIG. 3, two types of scene changes are illustrated: the top sequence 301 showing a direct scene change, and the bottom sequence 302 showing a scene change with fade-in and fade-out transition. On the top sequence 301, scene A is directly cut and changed to scene K. The last picture of scene A is picture #3, and the first picture of scene K is picture #4. The transition scene in this case does not contain any pictures, which can be described as an empty set. In the lower part sequence 302, scene A begins to change at the 2nd picture and completely changes to scene K in the last picture. The last picture of scene A is picture #1. The first picture of scene K is picture #6. Pictures #2, #3, #4, and #5 belong to the transition scene.

The perceptual video quality of the transition scene, even without compression, may not be good from the end viewer's point of view since it contains a mixture of different contents. In addition, the encoding process for the transition scene is also difficult, as across frames the correlations are less reliable than pictures within a normal scene.

From the above description, there is a need to develop methods for better handling the transition scene video, in particular, for screen content-oriented applications. In this disclosure, exemplary embodiments are proposed to address the above-mentioned issues. The disclosed methods are not limited to the application of screen content applications but can be extended to other types of contents as well.

FIG. 4 illustrates a simplified block diagram of a communication system (400) according to an embodiment of the present disclosure. The communication system (400) includes a plurality of terminal devices that can communicate with each other, via, for example, a network (450). For example, the communication system (400) includes a first pair of terminal devices (410) and (420) interconnected via the network (450). In the FIG. 4 example, the first pair of terminal devices (410) and (420) performs unidirectional transmission of data. For example, the terminal device (410) may code video data (e.g., a stream of video pictures that are captured by the terminal device (410)) for transmission to the other terminal device (420) via the network (450). The encoded video data can be transmitted in the form of one or more coded video bitstreams. The terminal device (420) may receive the coded video data from the network (450), decode the coded video data to recover the video pictures and display video pictures according to the recovered video data. Unidirectional data transmission may be common in media serving applications and the like.

In another example, the communication system (400) includes a second pair of terminal devices (430) and (440) that performs bidirectional transmission of coded video data that may occur, for example, during videoconferencing. For bidirectional transmission of data, in an example, each terminal device of the terminal devices (430) and (440) may code video data (e.g., a stream of video pictures that are captured by the terminal device) for transmission to the other terminal device of the terminal devices (430) and (440) via the network (450). Each terminal device of the terminal devices (430) and (440) also may receive the coded video data transmitted by the other terminal device of the terminal devices (430) and (440), and may decode the coded video data to recover the video pictures and may display video pictures at an accessible display device according to the recovered video data.

In the FIG. 4 example, the terminal devices (410), (420), (430) and (440) may be illustrated as servers, personal computers and smart phones but the principles of the present disclosure may be not so limited. Embodiments of the present disclosure find application with laptop computers, tablet computers, media players and/or dedicated video conferencing equipment. The network (450) represents any number of networks that convey coded video data among the terminal devices (410), (420), (430) and (440), including for example wireline (wired) and/or wireless communication networks. The communication network (450) may exchange data in circuit-switched and/or packet-switched channels. Representative networks include telecommunications networks, local area networks, wide area networks and/or the Internet. For the purposes of the present discussion, the architecture and topology of the network (450) may be immaterial to the operation of the present disclosure unless explained herein below.

FIG. 5 illustrates, as an example for an application for the disclosed subject matter, the placement of a video encoder and a video decoder in a streaming environment. The disclosed subject matter can be equally applicable to other video enabled applications, including, for example, video conferencing, digital TV, storing of compressed video on digital media including CD, DVD, memory stick and the like, and so on.

A streaming system may include a capture subsystem (513), that can include a video source (501), for example a digital camera, creating for example a stream of video pictures (502) that are uncompressed. In an example, the stream of video pictures (502) includes samples that are taken by the digital camera. The stream of video pictures (502), depicted as a bold line to emphasize a high data volume when compared to encoded video data (504) (or coded video bitstreams), can be processed by an electronic device (520) that includes a video encoder (503) coupled to the video source (501). The video encoder (503) can include hardware, software, or a combination thereof to enable or implement aspects of the disclosed subject matter as described in more detail below. The encoded video data (504) (or encoded video bitstream (504)), depicted as a thin line to emphasize the lower data volume when compared to the stream of video pictures (502), can be stored on a streaming server (505) for future use. One or more streaming client subsystems, such as client subsystems (506) and (508) in FIG. 5 can access the streaming server (505) to retrieve copies (507) and (509) of the encoded video data (504). A client subsystem (506) can include a video decoder (510), for example, in an electronic device (530). The video decoder (510) decodes the incoming copy (507) of the encoded video data and creates an outgoing stream of video pictures (511) that can be rendered on a display (512) (e.g., display screen) or other rendering device (not depicted). In some streaming systems, the encoded video data (504), (507), and (509) (e.g., video bitstreams) can be encoded according to certain video coding/compression standards. Examples of those standards include ITU-T Recommendation H.265. In an example, a video coding standard under development is informally known as Versatile Video Coding or VVC. The disclosed subject matter may be used in the context of VVC.

It is noted that the electronic devices (520) and (530) can include other components (not shown). For example, the electronic device (520) can include a video decoder (not shown) and the electronic device (530) can include a video encoder (not shown) as well.

FIG. 6 shows a block diagram of a video decoder (610) according to an embodiment of the present disclosure. The video decoder (610) can be included in an electronic device (630). The electronic device (630) can include a receiver (631) (e.g., receiving circuitry). The video decoder (610) can be used in the place of the video decoder (510) in the FIG. 5 example.

The receiver (631) may receive one or more coded video sequences to be decoded by the video decoder (610); in the same or another embodiment, one coded video sequence at a time, where the decoding of each coded video sequence is independent from other coded video sequences. The coded video sequence may be received from a channel (601), which may be a hardware/software link to a storage device which stores the encoded video data. The receiver (631) may receive the encoded video data with other data, for example, coded audio data and/or ancillary data streams, that may be forwarded to their respective using entities (not depicted). The receiver (631) may separate the coded video sequence from the other data. To combat network jitter, a buffer memory (615) may be coupled in between the receiver (631) and an entropy decoder/parser (620) (“parser (620)” henceforth). In certain applications, the buffer memory (615) is part of the video decoder (610). In others, it can be outside of the video decoder (610) (not depicted). In still others, there can be a buffer memory (not depicted) outside of the video decoder (610), for example to combat network jitter, and in addition another buffer memory (615) inside the video decoder (610), for example to handle playout timing. When the receiver (631) is receiving data from a store/forward device of sufficient bandwidth and controllability, or from an isosynchronous network, the buffer memory (615) may not be needed, or can be small. For use on best effort packet networks such as the Internet, the buffer memory (615) may be required, can be comparatively large and can be advantageously of adaptive size, and may at least partially be implemented in an operating system or similar elements (not depicted) outside of the video decoder (610).

The video decoder (610) may include the parser (620) to reconstruct symbols (621) from the coded video sequence. Categories of those symbols include information used to manage operation of the video decoder (610), and potentially information to control a rendering device such as a render device (612) (e.g., a display screen) that is not an integral part of the electronic device (630) but can be coupled to the electronic device (630), as was shown in FIG. 6. The control information for the rendering device(s) may be in the form of Supplementary Enhancement Information (SEI messages) or Video Usability Information (VUI) parameter set fragments (not depicted). The parser (620) may parse/entropy-decode the coded video sequence that is received. The coding of the coded video sequence can be in accordance with a video coding technology or standard, and can follow various principles, including variable length coding, Huffman coding, arithmetic coding with or without context sensitivity, and so forth. The parser (620) may extract from the coded video sequence, a set of subgroup parameters for at least one of the subgroups of pixels in the video decoder, based upon at least one parameter corresponding to the group. Subgroups can include Groups of Pictures (GOPs), pictures, tiles, slices, macroblocks, Coding Units (CUs), blocks, Transform Units (TUs), Prediction Units (PUs) and so forth. The parser (620) may also extract from the coded video sequence information such as transform coefficients, quantizer parameter values, motion vectors, and so forth.

The parser (620) may perform entropy decoding/parsing operation on the video sequence received from the buffer memory (615), so as to create symbols (621).

Reconstruction of the symbols (621) can involve multiple different units depending on the type of the coded video picture or parts thereof (such as: inter and intra picture, inter and intra block), and other factors. Which units are involved, and how, can be controlled by the subgroup control information that was parsed from the coded video sequence by the parser (620). The flow of such subgroup control information between the parser (620) and the multiple units below is not depicted for clarity.

Beyond the functional blocks already mentioned, the video decoder (610) can be conceptually subdivided into a number of functional units as described below. In a practical implementation operating under commercial constraints, many of these units interact closely with each other and can, at least partly, be integrated into each other. However, for the purpose of describing the disclosed subject matter, the conceptual subdivision into the functional units below is appropriate.

A first unit is the scaler/inverse transform unit (651). The scaler/inverse transform unit (651) receives a quantized transform coefficient as well as control information, including which transform to use, block size, quantization factor, quantization scaling matrices, etc. as symbol(s) (621) from the parser (620). The scaler/inverse transform unit (651) can output blocks comprising sample values, that can be input into aggregator (655).

In some cases, the output samples of the scaler/inverse transform (651) can pertain to an intra coded block; that is: a block that is not using predictive information from previously reconstructed pictures, but can use predictive information from previously reconstructed parts of the current picture. Such predictive information can be provided by an intra picture prediction unit (652). In some cases, the intra picture prediction unit (652) generates a block of the same size and shape of the block under reconstruction, using surrounding already reconstructed information fetched from the current picture buffer (658). The current picture buffer (658) buffers, for example, partly reconstructed current picture and/or fully reconstructed current picture. The aggregator (655), in some cases, adds, on a per sample basis, the prediction information the intra prediction unit (652) has generated to the output sample information as provided by the scaler/inverse transform unit (651).

In other cases, the output samples of the scaler/inverse transform unit (651) can pertain to an inter coded, and potentially motion compensated block. In such a case, a motion compensation prediction unit (653) can access reference picture memory (657) to fetch samples used for prediction. After motion compensating the fetched samples in accordance with the symbols (621) pertaining to the block, these samples can be added by the aggregator (655) to the output of the scaler/inverse transform unit (651) (in this case called the residual samples or residual signal) so as to generate output sample information. The addresses within the reference picture memory (657) from where the motion compensation prediction unit (653) fetches prediction samples can be controlled by motion vectors, available to the motion compensation prediction unit (653) in the form of symbols (621) that can have, for example X, Y, and reference picture components. Motion compensation also can include interpolation of sample values as fetched from the reference picture memory (657) when sub-sample exact motion vectors are in use, motion vector prediction mechanisms, and so forth.

The output samples of the aggregator (655) can be subject to various loop filtering techniques in the loop filter unit (656). Video compression technologies can include in-loop filter technologies that are controlled by parameters included in the coded video sequence (also referred to as coded video bitstream) and made available to the loop filter unit (656) as symbols (621) from the parser (620), but can also be responsive to meta-information obtained during the decoding of previous (in decoding order) parts of the coded picture or coded video sequence, as well as responsive to previously reconstructed and loop-filtered sample values.

The output of the loop filter unit (656) can be a sample stream that can be output to the render device (612) as well as stored in the reference picture memory (657) for use in future inter-picture prediction.

Certain coded pictures, once fully reconstructed, can be used as reference pictures for future prediction. For example, once a coded picture corresponding to a current picture is fully reconstructed and the coded picture has been identified as a reference picture (by, for example, the parser (620)), the current picture buffer (658) can become a part of the reference picture memory (657), and a fresh current picture buffer can be reallocated before commencing the reconstruction of the following coded picture.

The video decoder (610) may perform decoding operations according to a predetermined video compression technology in a standard, such as ITU-T Rec. H.265. The coded video sequence may conform to a syntax specified by the video compression technology or standard being used, in the sense that the coded video sequence adheres to both the syntax of the video compression technology or standard and the profiles as document in the video compression technology or standard. Specifically, a profile can select a certain tools as the only tools available for use under that profile from all the tools available in the video compression technology or standard. Also necessary for compliance can be that the complexity of the coded video sequence is within bounds as defined by the level of the video compression technology or standard. In some cases, levels restrict the maximum picture size, maximum frame rate, maximum reconstruction sample rate (measured in, for example megasamples per second), maximum reference picture size, and so on. Limits set by levels can, in some cases, be further restricted through Hypothetical Reference Decoder (HRD) specifications and metadata for HRD buffer management signaled in the coded video sequence.

In an embodiment, the receiver (631) may receive additional (redundant) data with the encoded video. The additional data may be included as part of the coded video sequence(s). The additional data may be used by the video decoder (610) to properly decode the data and/or to more accurately reconstruct the original video data. Additional data can be in the form of, for example, temporal, spatial, or signal noise ratio (SNR) enhancement layers, redundant slices, redundant pictures, forward error correction codes, and so on.

FIG. 7 shows a block diagram of a video encoder (703) according to an embodiment of the present disclosure. The video encoder (703) is included in an electronic device (720). The electronic device (720) includes a transmitter (740) (e.g., transmitting circuitry). The video encoder (703) can be used in the place of the video encoder (503) in the FIG. 5 example.

The video encoder (703) may receive video samples from a video source (701)(that is not part of the electronic device (720) in the FIG. 7 example) that may capture video image(s) to be coded by the video encoder (703). In another example, the video source (701) is a part of the electronic device (720).

The video source (701) may provide the source video sequence to be coded by the video encoder (703) in the form of a digital video sample stream that can be of any suitable bit depth (for example: 8 bit, 10 bit, 12 bit, . . . ), any colorspace (for example, BT.601 Y CrCB, RGB, . . . ) and any suitable sampling structure (for example Y CrCb 4:2:0, Y CrCb 4:4:4). In a media serving system, the video source (701) may be a storage device storing previously prepared video. In a videoconferencing system, the video source (701) may be a camera that captures local image information as a video sequence. Video data may be provided as a plurality of individual pictures that impart motion when viewed in sequence. The pictures themselves may be organized as a spatial array of pixels, wherein each pixel can comprise one or more samples depending on the sampling structure, color space, etc. in use. A person skilled in the art can readily understand the relationship between pixels and samples. The description below focusses on samples.

According to an embodiment, the video encoder (703) may code and compress the pictures of the source video sequence into a coded video sequence (743) in real time or under any other time constraints as required by the application. Enforcing appropriate coding speed is one function of a controller (750). In some embodiments, the controller (750) controls other functional units as described below and is functionally coupled to the other functional units. The coupling is not depicted for clarity. Parameters set by the controller (750) can include rate control related parameters (picture skip, quantizer, lambda value of rate-distortion optimization techniques, . . . ), picture size, group of pictures (GOP) layout, maximum motion vector search range, and so forth. The controller (750) can be configured to have other suitable functions that pertain to the video encoder (703) optimized for a certain system design.

In some embodiments, the video encoder (703) is configured to operate in a coding loop. As an oversimplified description, in an example, the coding loop can include a source coder (730) (e.g., responsible for creating symbols, such as a symbol stream, based on an input picture to be coded, and a reference picture(s)), and a (local) decoder (733) embedded in the video encoder (703). The decoder (733) reconstructs the symbols to create the sample data in a similar manner as a (remote) decoder also would create (as any compression between symbols and coded video bitstream is lossless in the video compression technologies considered in the disclosed subject matter). The reconstructed sample stream (sample data) is input to the reference picture memory (734). As the decoding of a symbol stream leads to bit-exact results independent of decoder location (local or remote), the content in the reference picture memory (734) is also bit exact between the local encoder and remote encoder. In other words, the prediction part of an encoder “sees” as reference picture samples exactly the same sample values as a decoder would “see” when using prediction during decoding. This fundamental principle of reference picture synchronicity (and resulting drift, if synchronicity cannot be maintained, for example because of channel errors) is used in some related arts as well.

The operation of the “local” decoder (733) can be the same as of a “remote” decoder, such as the video decoder (610), which has already been described in detail above in conjunction with FIG. 6. Briefly referring also to FIG. 6, however, as symbols are available and encoding/decoding of symbols to a coded video sequence by an entropy coder (745) and the parser (620) can be lossless, the entropy decoding parts of the video decoder (610), including the buffer memory (615), and parser (620) may not be fully implemented in the local decoder (733).

An observation that can be made at this point is that any decoder technology except the parsing/entropy decoding that is present in a decoder also necessarily needs to be present, in substantially identical functional form, in a corresponding encoder. For this reason, the disclosed subject matter focuses on decoder operation. The description of encoder technologies can be abbreviated as they are the inverse of the comprehensively described decoder technologies. Only in certain areas a more detail description is required and provided below.

During operation, in some examples, the source coder (730) may perform motion compensated predictive coding, which codes an input picture predictively with reference to one or more previously-coded picture from the video sequence that were designated as “reference pictures”. In this manner, the coding engine (732) codes differences between pixel blocks of an input picture and pixel blocks of reference picture(s) that may be selected as prediction reference(s) to the input picture.

The local video decoder (733) may decode coded video data of pictures that may be designated as reference pictures, based on symbols created by the source coder (730). Operations of the coding engine (732) may advantageously be lossy processes. When the coded video data may be decoded at a video decoder (not shown in FIG. 7), the reconstructed video sequence typically may be a replica of the source video sequence with some errors. The local video decoder (733) replicates decoding processes that may be performed by the video decoder on reference pictures and may cause reconstructed reference pictures to be stored in the reference picture cache (734). In this manner, the video encoder (703) may store copies of reconstructed reference pictures locally that have common content as the reconstructed reference pictures that will be obtained by a far-end video decoder (absent transmission errors).

The predictor (735) may perform prediction searches for the coding engine (732). That is, for a new picture to be coded, the predictor (735) may search the reference picture memory (734) for sample data (as candidate reference pixel blocks) or certain metadata such as reference picture motion vectors, block shapes, and so on, that may serve as an appropriate prediction reference for the new pictures. The predictor (735) may operate on a sample block-by-pixel block basis to find appropriate prediction references. In some cases, as determined by search results obtained by the predictor (735), an input picture may have prediction references drawn from multiple reference pictures stored in the reference picture memory (734).

The controller (750) may manage coding operations of the source coder (730), including, for example, setting of parameters and subgroup parameters used for encoding the video data.

Output of all aforementioned functional units may be subjected to entropy coding in the entropy coder (745). The entropy coder (745) translates the symbols as generated by the various functional units into a coded video sequence, by lossless compressing the symbols according to technologies known to a person skilled in the art as, for example Huffman coding, variable length coding, arithmetic coding, and so forth.

The transmitter (740) may buffer the coded video sequence(s) as created by the entropy coder (745) to prepare for transmission via a communication channel (760), which may be a hardware/software link to a storage device which would store the encoded video data. The transmitter (740) may merge coded video data from the video coder (703) with other data to be transmitted, for example, coded audio data and/or ancillary data streams (sources not shown).

The controller (750) may manage operation of the video encoder (703). During coding, the controller (750) may assign to each coded picture a certain coded picture type, which may affect the coding techniques that may be applied to the respective picture. For example, pictures often may be assigned as one of the following picture types:

An Intra Picture (I picture) may be one that may be coded and decoded without using any other picture in the sequence as a source of prediction. Some video codecs allow for different types of Intra pictures, including, for example Independent Decoder Refresh (“IDR”) Pictures. A person skilled in the art is aware of those variants of I pictures and their respective applications and features.

A Predictive picture (P picture) may be one that may be coded and decoded using intra prediction or inter prediction using at most one motion vector and reference index to predict the sample values of each block.

A Bi-directionally Predictive Picture (B Picture) may be one that may be coded and decoded using intra prediction or inter prediction using at most two motion vectors and reference indices to predict the sample values of each block. Similarly, multiple-predictive pictures can use more than two reference pictures and associated metadata for the reconstruction of a single block.

Source pictures commonly may be subdivided spatially into a plurality of sample blocks (for example, blocks of 4×4, 8×8, 4×8, or 16×16 samples each) and coded on a block-by-block basis. Blocks may be coded predictively with reference to other (already coded) blocks as determined by the coding assignment applied to the blocks' respective pictures. For example, blocks of I pictures may be coded non-predictively or they may be coded predictively with reference to already coded blocks of the same picture (spatial prediction or intra prediction). Pixel blocks of P pictures may be coded predictively, via spatial prediction or via temporal prediction with reference to one previously coded reference pictures. Blocks of B pictures may be coded predictively, via spatial prediction or via temporal prediction with reference to one or two previously coded reference pictures.

The video encoder (703) may perform coding operations according to a predetermined video coding technology or standard, such as ITU-T Rec. H.265. In its operation, the video encoder (703) may perform various compression operations, including predictive coding operations that exploit temporal and spatial redundancies in the input video sequence. The coded video data, therefore, may conform to a syntax specified by the video coding technology or standard being used.

In an embodiment, the transmitter (740) may transmit additional data with the encoded video. The source coder (730) may include such data as part of the coded video sequence. Additional data may comprise temporal/spatial/SNR enhancement layers, other forms of redundant data such as redundant pictures and slices, Supplementary Enhancement Information (SEI) messages, Visual Usability Information (VUI) parameter set fragments, and so on.

A video may be captured as a plurality of source pictures (video pictures) in a temporal sequence. Intra-picture prediction (often abbreviated to Intra prediction) makes use of spatial correlation in a given picture, and inter-picture prediction makes use of the (temporal or other) correlation between the pictures. In an example, a specific picture under encoding/decoding, which is referred to as a current picture, is partitioned into blocks. When a block in the current picture is similar to a reference block in a previously coded and still buffered reference picture in the video, the block in the current picture can be coded by a vector that is referred to as a motion vector. The motion vector points to the reference block in the reference picture, and can have a third dimension identifying the reference picture, in case multiple reference pictures are in use.

In some embodiments, a bi-prediction technique can be used in the inter-picture prediction. According to the bi-prediction technique, two reference pictures, such as a first and a second reference picture that are both prior in decoding order to the current picture in the video (but may be in the past and future, respectively, in display order) are used. A block in the current picture can be coded by a first motion vector that points to a first reference block in the first reference picture, and a second motion vector that points to a second reference block in the second reference picture. The block can be predicted by a combination of the first reference block and the second reference block.

Further, a merge mode technique can be used in the inter-picture prediction to improve coding efficiency.

According to some embodiments of the disclosure, predictions, such as inter-picture predictions and intra-picture predictions are performed in the unit of blocks. For example, according to the HEVC standard, a picture in a sequence of video pictures is partitioned into coding tree units (CTU) for compression, the CTUs in a picture have the same size, such as 64×64 pixels, 32×32 pixels, or 16×16 pixels. In general, a CTU includes three coding tree blocks (CTBs), which are one luma CTB and two chroma CTBs. Each CTU can be recursively quadtree split into one or multiple coding units (CUs). For example, a CTU of 64×64 pixels can be split into one CU of 64×64 pixels, or 4 CUs of 32×32 pixels, or 16 CUs of 16×16 pixels. In an example, each CU is analyzed to determine a prediction type for the CU, such as an inter prediction type or an intra prediction type. The CU is split into one or more prediction units (PUs) depending on the temporal and/or spatial predictability. Generally, each PU includes a luma prediction block (PB), and two chroma PBs. In an embodiment, a prediction operation in coding (encoding/decoding) is performed in the unit of a prediction block. Using a luma prediction block as an example of a prediction block, the prediction block includes a matrix of values (e.g., luma values) for pixels, such as 8×8 pixels, 16×16 pixels, 8×16 pixels, 16×8 pixels and the like.

FIG. 8 shows a diagram of a video encoder (803) according to another embodiment of the disclosure. The video encoder (803) is configured to receive a processing block (e.g., a prediction block) of sample values within a current video picture in a sequence of video pictures, and encode the processing block into a coded picture that is part of a coded video sequence. In an example, the video encoder (803) is used in the place of the video encoder (503) in the FIG. 5 example.

In an HEVC example, the video encoder (803) receives a matrix of sample values for a processing block, such as a prediction block of 8×8 samples, and the like. The video encoder (803) determines whether the processing block is best coded using intra mode, inter mode, or bi-prediction mode using, for example, rate-distortion optimization. When the processing block is to be coded in intra mode, the video encoder (803) may use an intra prediction technique to encode the processing block into the coded picture; and when the processing block is to be coded in inter mode or bi-prediction mode, the video encoder (803) may use an inter prediction or bi-prediction technique, respectively, to encode the processing block into the coded picture. In certain video coding technologies, merge mode can be an inter picture prediction submode where the motion vector is derived from one or more motion vector predictors without the benefit of a coded motion vector component outside the predictors. In certain other video coding technologies, a motion vector component applicable to the subject block may be present. In an example, the video encoder (803) includes other components, such as a mode decision module (not shown) to determine the mode of the processing blocks.

In the FIG. 8 example, the video encoder (803) includes the inter encoder (830), an intra encoder (822), a residue calculator (823), a switch (826), a residue encoder (824), a general controller (821) and an entropy encoder (825) coupled together as shown in FIG. 8.

The inter encoder (830) is configured to receive the samples of the current block (e.g., a processing block), compare the block to one or more reference blocks in reference pictures (e.g., blocks in previous pictures and later pictures), generate inter prediction information (e.g., description of redundant information according to inter encoding technique, motion vectors, merge mode information), and calculate inter prediction results (e.g., predicted block) based on the inter prediction information using any suitable technique.

The intra encoder (822) is configured to receive the samples of the current block (e.g., a processing block), in some cases compare the block to blocks already coded in the same picture, generate quantized coefficients after transform and, in some cases also intra prediction information (e.g., an intra prediction direction information according to one or more intra encoding techniques).

The general controller (821) is configured to determine general control data and control other components of the video encoder (803) based on the general control data. In an example, the general controller (821) determines the mode of the block, and provides a control signal to the switch (826) based on the mode. For example, when the mode is the intra, the general controller (821) controls the switch (826) to select the intra mode result for use by the residue calculator (823), and controls the entropy encoder (825) to select the intra prediction information and include the intra prediction information in the bitstream; and when the mode is the inter mode, the general controller (821) controls the switch (826) to select the inter prediction result for use by the residue calculator (823), and controls the entropy encoder (825) to select the inter prediction information and include the inter prediction information in the bitstream.

The residue calculator (823) is configured to calculate a difference (residue data) between the received block and prediction results selected from the intra encoder (822) or the inter encoder (830). The residue encoder (824) is configured to operate based on the residue data to encode the residue data to generate the transform coefficients. In an example, the residue encoder (824) is configured to convert the residue data in the frequency domain, and generate the transform coefficients. The transform coefficients are then subject to quantization processing to obtain quantized transform coefficients.

The entropy encoder (825) is configured to format the bitstream to include the encoded block. The entropy encoder (825) is configured to include various information according to a suitable standard, such as HEVC standard. In an example, the entropy encoder (825) is configured to include the general control data, the selected prediction information (e.g., intra prediction information or inter prediction information), the residue information, and other suitable information in the bitstream. Note that, according to the disclosed subject matter, when coding a block in the merge submode of either inter mode or bi-prediction mode, there is no residue information.

FIG. 9 shows a diagram of a video decoder (910) according to another embodiment of the disclosure. The video decoder (910) is configured to receive a coded pictures that are part of a coded video sequence, and decode the coded picture to generate a reconstructed picture. In an example, the video decoder (910) is used in the place of the video decoder (510) in the FIG. 5 example.

In the FIG. 9 example, the video decoder (910) includes an entropy decoder (971), an inter decoder (980), a residue decoder (973), a reconstruction module (974), and an intra decoder (972) coupled together as shown in FIG. 9.

The entropy decoder (971) can be configured to reconstruct, from the coded picture, certain symbols that represent the syntax elements of which the coded picture is made up. Such symbols can include, for example, the mode in which a block is coded (such as, for example, intra, inter, b-predicted, the latter two in merge submode or another submode), prediction information (such as, for example, intra prediction information or inter prediction information) that can identify certain sample or metadata that is used for prediction by the intra decoder (972) or the inter decoder (980) respectively residual information in the form of, for example, quantized transform coefficients, and the like. In an example, when the prediction mode is inter or bi-predicted mode, the inter prediction information is provided to the inter decoder (980); and when the prediction type is the intra prediction type, the intra prediction information is provided to the intra decoder (972). The residual information can be subject to inverse quantization and is provided to the residue decoder (973).

The inter decoder (980) is configured to receive the inter prediction information, and generate inter prediction results based on the inter prediction information.

The intra decoder (972) is configured to receive the intra prediction information, and generate prediction results based on the intra prediction information.

The residue decoder (973) is configured to perform inverse quantization to extract de-quantized transform coefficients, and process the de-quantized transform coefficients to convert the residual from the frequency domain to the spatial domain. The residue decoder (973) may also require certain control information (to include the Quantizer Parameter QP), and that information may be provided by the entropy decoder (971) (datapath not depicted as this may be low volume control information only).

The reconstruction module (974) is configured to combine, in the spatial domain, the residual as output by the residue decoder (973) and the prediction results (as output by the inter or intra prediction modules as the case may be) to form a reconstructed block, that may be part of the reconstructed picture, which in turn may be part of the reconstructed video. It is noted that other suitable operations, such as a deblocking operation and the like, can be performed to improve the visual quality.

It is noted that the video encoders (503), (703) and (803), and the video decoders (510), (610) and (910) can be implemented using any suitable technique. In an embodiment, the video encoders (503), (703) and (803), and the video decoders (510), (610) and (910) can be implemented using one or more integrated circuits. In another embodiment, the video encoders (503), (703) and (703), and the video decoders (510), (610) and (910) can be implemented using one or more processors that execute software instructions.

In the following exemplary embodiments, methods are proposed such that at the encoder side, video frames of the transition scene are not directly coded as in conventional video coding methods, but described or otherwise signaled in the bitstream. On the other hand, at the decoder side, the transition scene is not directly decoded from the bitstream as in conventional video coding methods but reproduced according to the decoded related information. In the following, how the transition scene is described and reproduced and how the related information is sent in the bitstream are proposed.

In a transition scene detection method, the last picture of the previous scene and the first picture of the new scene are to be identified. After that, picture(s) in between these two pictures belong to the transition scene and are subject to further processing.

In order to identify these two pictures, a two-step scene change detection method is performed in an embodiment as shown in FIG. 10A.

In step (1001), two distinct scenes are identified that are within a proximal time frame to each other such that the two distinct scenes are considered back-to-back scenes with a transition between them. In step (1002), a scene change detection method is utilized to identify the last picture of the previous scene. In this step, the video content immediately after the last picture of the previous scene can be considered as part of the transition scene at the moment.

In step (1003), another scene change detection is utilized to detect the turning point from the transition scene to the new scene. The turning point (after which video content becomes stable) is considered as the first picture of the new scene.

In step (1004), any pictures or frames between the last picture of the previous scene and the first picture of the new scene are identified as a transition scene

In the above method, one or more of the following can be applied as shown in FIG. 10B. Steps (1001)-(1003) are the same as in FIG. 10A. In step (1004′) any pictures or frames between the last picture of the previous scene and the first picture of the new scene are identified.

A time window constraint can be imposed as shown in step (1005) to the duration of the transition scene such that if it is longer than a given threshold, it will not be considered as a transition scene. Rather, it will just be a full scene with meaningful video content. In one embodiment, the duration of transition scene can be limited to N1 second (e.g., 1 second). The threshold can be set based on a defined length of a meaningful video scene.

A time window constraint can be imposed in step 1006 to the duration of the previous scene such that if it is shorter than a given threshold, the transition scene after that will not be considered as a short transition between two meaningful video contents (or scenes). In one embodiment, the duration of the previous scene can be limited to at least N2 second (e.g., 5 seconds).

A time window constraint can be imposed in step 1007 to the duration of the new scene such that if it is shorter than a given threshold, the transition scene before that will not be considered as a short transition between two meaningful video contents (or scenes). In one embodiment, the duration of the new scene can be limited to at least N3 second (e.g., 5 seconds).

In the above, N1, N2, N3 can be specified by the system. In one example, N1=1, N2=5, and N3=5.

If the above conditions are met and two said pictures can be identified, then the transition scene is then detected at step 1008. In the above, the scene change detection is not specified to any particular method.

In the above, scene change detections can be applied as a pre-analysis method, prior to the encoding of a video sequence with multiple scenes.

Once the last picture of the previous scene and the first picture of the new scene are identified, there are a few methods to process the transition scene, such as the ones described in the exemplary methods 2 and 3 below.

In a transition scene generation method, as shown in FIG. 11A, the whole transition scene is not directly encoded at the encoder side, and not directly decoded at the decoder side from the bitstream. Instead, the last frame of the previous scene (referred to as A) and the first frame of the new scene (referred to as K) are used to generate a cross-fade transition scene using a fading model, to replace the transition scene. Therefore, the actual transition scene that the encoder takes as an input may not be the same as the transition scene the decoder generates as an output.

In the following, it is assumed the time instance for A is t=0, the time instance for K is t=n. The transition scene is then detected as being n−1 instances from t=1 to t=n−1 at step 1101. Then the transition scene interpolation process is applied at step 1101 to generate the cross-fade transition scene which replaces the original transition scene. The picture F[t] in the replacement transition scene can be described as: F[t]=A*(1−s[t])+K*s[t], where in one embodiment, a linear model is used with s[t] being:

$s\left[t\right]=\{\begin{array}{cc}0,& t=0\\ t\text{/}n,& 0<t<n\\ 1,& t=n\end{array}$

In another embodiment, similar as above, but when 0<t<n, s[t]=(t/n)².

In another embodiment, similar as above, but when 0<t<n, s[t]=(t/n)^1/2.

In a method, as illustrated in FIG. 11B, the whole transition scene is not directly encoded at the encoder side, and not directly decoded at the decoder side from the bitstream. Instead, it is described using one or more pre-defined scene change models or patterns (these two words are used inter-changeable). The one or more pre-defined scene change models are known by the encoder and decoder. In the following, the page change or animation descriptions used in Microsoft PowerPoint™ are discussed as an example. The possible commonly used animated transitions from one scene to another may include but is not limited to one or more of the following:

Morph

Fade

Push (into)

Wipe

Split

Reveal

Shape

Uncover

When a scene change is detected at the encoder and a transition scene is identified at step 1101 (same as in FIG. 11A), the last frame of the previous scene (referred to as A) and the first frame of the new scene (referred to as K) are used to generate a cross-fade transition scene using one of the pre-defined models in the system. So the generated scene will transition from picture A to picture K using one of the one or more pre-defined models at step 1102′.

At the encoder side, by comparing the video content in the current transition scene with a set of videos that are generated using the set of pre-defined patterns, the pattern that can generate the most similar content to the one in the current transition scene will be used and signaled to the decoder. The decoder receives the chosen pattern information and generates the transition scene accordingly.

In one embodiment, the similarity criterion between the transition scene content and one of the possible pattern-generated content is based on the distortion between the transition scene and the pattern-generated scene using one of the pre-defined patterns. The smaller the distortion is, the more similar the two videos are. The distortion can be based on structural similarity (SSIM), average peak signal-to-noise ratio (PSNR) or other video quality assessment metrics.

In another embodiment, the pre-defined patterns are represented using their indices in the set. The same set of different models is also known to the decoder. So only the index of the selected pattern needs to be signaled in the bitstream.

In another embodiment, the chosen pattern or model is parameterized, and the related information is sent to the decoder to reproduce the transition scene.

In another embodiment, the transition scene and the pattern-generated scene can be both down-sampled before performing distortion comparison.

In some embodiments, for a system with the proposed methods to work, the following are described in the bitstream: how to signal the existence of a transition scene, the start and duration.

For instance, as shown in FIG. 12, at the picture header (PPS) or first slice header of the first picture in the new scene, or in an associated SEI message, signal the following in a field 1201: whether this picture is the start of a new scene, after a transition scene

If yes, the picture header will signal the duration of the transition scene in field (1202). For example, this may be signaled by signalling the picture order count (POC) number of this picture. In one method, by calculating the POC difference between the POC of the current picture and the largest POC among the already decoded pictures (the largest one is the last picture of the previous scene), referred to as POC_F (first one in a new scene) and POC_L (last one in the previous scene), separately. In another method, the duration T is signaled with the first picture of the new scene. In one embodiment, it is signaled as an SEI message associated.

In field (1203), the property of a transition scene is signaled so that the decoder may mimic its effect

At the picture header (PPS) or first slice header of the first picture in the new scene, or in an SEI message associated, signal the type of transition scene, or the index in the set of supported transition scenes, or the parameters of the pattern that are needed for generating the transition scene.

A method implemented by the decoder is shown in FIG. 13. First, the decoder will decode the last picture of the first scene at step (1301) as part of the normal decoding process. At the decoder, after decoding the first picture of the new scene (1302), the decoder generates a video sequence of the transition scene (1303), using one or more of the following parameters:

The last picture of the previous scene

The first picture of the new scene

The duration of the transition scene: POC_F−POC_L−1, or a signaled duration T

The type of transition scene

The decoder then outputs the generated transition scene to display (1305). In one embodiment, the type of transition scene is not necessarily signaled. When the type of the transition scene is not signaled, a default or random type can be used, the type can be selected based on characteristics of one or more of the first, picture, last picture, and duration of the transition scene.

After decoding the first picture of the new scene, before outputting this picture (1306), the pictures in the transition scene should be output sequentially (during step (1305)). For the generation of transition scene, the whole transition scene can be generated all at once, or one each time when needed for output.

The techniques described above, can be implemented as computer software using computer-readable instructions and physically stored in one or more computer-readable media. For example, FIG. 14 shows a computer system (1400) suitable for implementing certain embodiments of the disclosed subject matter.

The computer software can be coded using any suitable machine code or computer language, that may be subject to assembly, compilation, linking, or like mechanisms to create code comprising instructions that can be executed directly, or through interpretation, micro-code execution, and the like, by one or more computer central processing units (CPUs), Graphics Processing Units (GPUs), and the like.

The instructions can be executed on various types of computers or components thereof, including, for example, personal computers, tablet computers, servers, smartphones, gaming devices, internet of things devices, and the like.

The components shown in FIG. 14 for computer system (1400) are exemplary in nature and are not intended to suggest any limitation as to the scope of use or functionality of the computer software implementing embodiments of the present disclosure. Neither should the configuration of components be interpreted as having any dependency or requirement relating to any one or combination of components illustrated in the exemplary embodiment of a computer system (1400).

Computer system (1400) may include certain human interface input devices. Such a human interface input device may be responsive to input by one or more human users through, for example, tactile input (such as: keystrokes, swipes, data glove movements), audio input (such as: voice, clapping), visual input (such as: gestures), olfactory input (not depicted). The human interface devices can also be used to capture certain media not necessarily directly related to conscious input by a human, such as audio (such as: speech, music, ambient sound), images (such as: scanned images, photographic images obtain from a still image camera), video (such as two-dimensional video, three-dimensional video including stereoscopic video).

Input human interface devices may include one or more of (only one of each depicted): keyboard (1401), mouse (1402), trackpad (1403), touch screen (1410), data-glove (not shown), joystick (1405), microphone (1406), scanner (1407), camera (1408).

Computer system (1400) may also include certain human interface output devices. Such human interface output devices may be stimulating the senses of one or more human users through, for example, tactile output, sound, light, and smell/taste. Such human interface output devices may include tactile output devices (for example tactile feedback by the touch-screen (1410), data-glove (not shown), or joystick (1405), but there can also be tactile feedback devices that do not serve as input devices), audio output devices (such as: speakers (1409), headphones (not depicted)), visual output devices (such as screens (1410) to include CRT screens, LCD screens, plasma screens, OLED screens, each with or without touch-screen input capability, each with or without tactile feedback capability—some of which may be capable to output two dimensional visual output or more than three dimensional output through means such as stereographic output; virtual-reality glasses (not depicted), holographic displays and smoke tanks (not depicted)), and printers (not depicted).

Computer system (1400) can also include human accessible storage devices and their associated media such as optical media including CD/DVD ROM/RW (1420) with CD/DVD or the like media (1421), thumb-drive (1422), removable hard drive or solid state drive (1423), legacy magnetic media such as tape and floppy disc (not depicted), specialized ROM/ASIC/PLD based devices such as security dongles (not depicted), and the like.

Those skilled in the art should also understand that term “computer readable media” as used in connection with the presently disclosed subject matter does not encompass transmission media, carrier waves, or other transitory signals.

Computer system (1400) can also include an interface to one or more communication networks. Networks can for example be wireless, wireline, optical. Networks can further be local, wide-area, metropolitan, vehicular and industrial, real-time, delay-tolerant, and so on. Examples of networks include local area networks such as Ethernet, wireless LANs, cellular networks to include GSM, 3G, 4G, 5G, LTE and the like, TV wireline or wireless wide area digital networks to include cable TV, satellite TV, and terrestrial broadcast TV, vehicular and industrial to include CANBus, and so forth. Certain networks commonly require external network interface adapters that attached to certain general purpose data ports or peripheral buses (1449) (such as, for example USB ports of the computer system (1400)); others are commonly integrated into the core of the computer system (1400) by attachment to a system bus as described below (for example Ethernet interface into a PC computer system or cellular network interface into a smartphone computer system). Using any of these networks, computer system (1400) can communicate with other entities. Such communication can be uni-directional, receive only (for example, broadcast TV), uni-directional send-only (for example CANbus to certain CANbus devices), or bi-directional, for example to other computer systems using local or wide area digital networks. Certain protocols and protocol stacks can be used on each of those networks and network interfaces as described above.

Aforementioned human interface devices, human-accessible storage devices, and network interfaces can be attached to a core (1440) of the computer system (1400).

The core (1440) can include one or more Central Processing Units (CPU) (1441), Graphics Processing Units (GPU) (1442), specialized programmable processing units in the form of Field Programmable Gate Areas (FPGA) (1443), hardware accelerators for certain tasks (1444), and so forth. These devices, along with Read-only memory (ROM) (1445), Random-access memory (1446), internal mass storage such as internal non-user accessible hard drives, SSDs, and the like (1447), may be connected through a system bus (1448). In some computer systems, the system bus (1448) can be accessible in the form of one or more physical plugs to enable extensions by additional CPUs, GPU, and the like. The peripheral devices can be attached either directly to the core's system bus (1448), or through a peripheral bus (1449). Architectures for a peripheral bus include PCI, USB, and the like.

CPUs (1441), GPUs (1442), FPGAs (1443), and accelerators (1444) can execute certain instructions that, in combination, can make up the aforementioned computer code. That computer code can be stored in ROM (1445) or RAM (1446). Transitional data can be also be stored in RAM (1446), whereas permanent data can be stored for example, in the internal mass storage (1447). Fast storage and retrieve to any of the memory devices can be enabled through the use of cache memory, that can be closely associated with one or more CPU (1441), GPU (1442), mass storage (1447), ROM (1445), RAM (1446), and the like.

The computer readable media can have computer code thereon for performing various computer-implemented operations. The media and computer code can be those specially designed and constructed for the purposes of the present disclosure, or they can be of the kind well known and available to those having skill in the computer software arts.

As an example and not by way of limitation, the computer system having architecture (1400), and specifically the core (1440) can provide functionality as a result of processor(s) (including CPUs, GPUs, FPGA, accelerators, and the like) executing software embodied in one or more tangible, computer-readable media. Such computer-readable media can be media associated with user-accessible mass storage as introduced above, as well as certain storage of the core (1440) that are of non-transitory nature, such as core-internal mass storage (1447) or ROM (1445). The software implementing various embodiments of the present disclosure can be stored in such devices and executed by core (1440). A computer-readable medium can include one or more memory devices or chips, according to particular needs. The software can cause the core (1440) and specifically the processors therein (including CPU, GPU, FPGA, and the like) to execute particular processes or particular parts of particular processes described herein, including defining data structures stored in RAM (1446) and modifying such data structures according to the processes defined by the software. In addition or as an alternative, the computer system can provide functionality as a result of logic hardwired or otherwise embodied in a circuit (for example: accelerator (1444)), which can operate in place of or together with software to execute particular processes or particular parts of particular processes described herein. Reference to software can encompass logic, and vice versa, where appropriate. Reference to a computer-readable media can encompass a circuit (such as an integrated circuit (IC)) storing software for execution, a circuit embodying logic for execution, or both, where appropriate. The present disclosure encompasses any suitable combination of hardware and software.

APPENDIX A: ACRONYMS

MV: Motion Vector

HEVC: High Efficiency Video Coding

SEI: Supplementary Enhancement Information

VUI: Video Usability Information

GOPs: Groups of Pictures

TUs: Transform Units,

PUs: Prediction Units

CTUs: Coding Tree Units

CTBs: Coding Tree Blocks

PBs: Prediction Blocks

HRD: Hypothetical Reference Decoder

SNR: Signal Noise Ratio

CPUs: Central Processing Units

GPUs: Graphics Processing Units

CRT: Cathode Ray Tube

LCD: Liquid-Crystal Display

OLED: Organic Light-Emitting Diode

CD: Compact Disc

DVD: Digital Video Disc

ROM: Read-Only Memory

RAM: Random Access Memory

ASIC: Application-Specific Integrated Circuit

PLD: Programmable Logic Device

LAN: Local Area Network

GSM: Global System for Mobile communications

LTE: Long-Term Evolution

CANBus: Controller Area Network Bus

USB: Universal Serial Bus

PCI: Peripheral Component Interconnect

FPGA: Field Programmable Gate Areas

SSD: solid-state drive

IC: Integrated Circuit

CU: Coding Unit

While this disclosure has described several exemplary embodiments, there are alterations, permutations, and various substitute equivalents, which fall within the scope of the disclosure. It will thus be appreciated that those skilled in the art will be able to devise numerous systems and methods which, although not explicitly shown or described herein, embody the principles of the disclosure and are thus within the spirit and scope thereof.

Claims

1. A method for video decoding in a decoder, comprising:

decoding encoded video content from an encoding system, wherein the encoding system performs a scene change detection process that includes identifying a first picture among a sequence of pictures that corresponds to a last picture of a first scene, identifying a second picture among the sequence of pictures that corresponds to a first picture of a second scene, and determining that one or more pictures that are between the first picture and the second picture in the sequence of pictures correspond to an input transition scene between the first scene and the second scene, and the received encoded video content is encoded without encoding all of the pictures of the input transition scene, and includes an indication of an existence of the input transition scene and information for reproducing a transition scene that corresponds to the input transition scene;

generating the transition scene that corresponds to the input transition scene based on the received indication of the existence of the input transition scene and the information for reproducing the transition scene; and

outputting video content that includes the transition scene that corresponds to the input transition scene in a sequence that is between the first scene and the second scene.

2. The method according to claim 1, further comprising generating a cross-fade transition scene, for reproducing the transition scene that corresponds to the input transition scene, based on the information for reproducing the transition scene indicating a predetermined fading model.

3. The method according to claim 2, wherein a time instance for the first picture is t=0, a time instance for the second picture is t=n, the input transition scene occupies n−1 time instances from t=1 to t=n−1, each image F[t] within the cross-fade transition scene is defined as: F[t]=A*(1−s[t])+K*s[t], where s[t] is: s  [ t ] = { 0, t = 0  t  /  n, 0 < t < n 1, t = n ,

wherein “A” is the first frame and “K” is the second frame.

4. The method according to claim 2, wherein a time instance for the first picture is t=0, a time instance for the second picture is t=n, the input transition scene occupies n−1 time instances from t=1 to t=n−1, each image F[t] within the cross-fade transition scene is defined as: F[t]=A*(1−s[t])+K*s[t], where s[t] is: s  [ t ] = { 0, t = 0  ( t  /  n ) 2, 0 < t < n 1, t = n ,

wherein “A” is the first picture and “K” is the second picture.

5. The method according to claim 2, wherein a time instance for the first picture is t=0, a time instance for the second picture is t=n, the input transition scene occupies n−1 time instances from t=1 to t=n−1, each image F[t] within the cross-fade transition scene is defined as: F[t]=A*(1−s[t])+K*s[t], where s[t] is: s  [ t ] = { 0, t = 0  ( t  /  n ) 1  /  2, 0 < t < n 1, t = n ,

wherein “A” is the first picture and “K” is the second picture.

6. The method according to claim 2, wherein the predetermined fading model is based on a predetermined animated transition.

7. The method according to claim 6, wherein the predetermined animated transition is one of a morph animation, a fade animation, a push animation, a wipe animation, a split animation, a reveal animation, a shape animation, and an uncover animation.

8. The method according to claim 6, further comprising receiving an indication of the predetermined animated transition used to replace the input transition scene, along with the encoded video content, as the information for reproducing the transition scene that corresponds to the input transition scene.

9. The method according to claim 7, wherein the predetermined animated transition is determined at the encoding system based on the input transition scene being compared to a plurality of pattern-generated content that are each generated based respectively on at least one of the predetermined animated transitions, and the predetermined animated transition is based on the pattern-generated content which has a highest similarity to the input transition scene.

10. The method according to claim 9, wherein the predetermined animated transition is determined at the encoding system based on an assessment of distortion between the input transition scene and each of the plurality of pattern-generated content.

11. The method according to claim 1, wherein the scene change detection process includes determining that the one or more picture that are between the first picture and the second picture in the sequence of picture correspond to an input transition scene between the first scene and the second scene when a duration of the one or more pictures is less than a predetermined threshold.

12. The method according to claim 1, wherein the scene change detection process includes determining that the one or more pictures that are between the first picture and the second picture in the sequence of frames correspond to an input transition scene when a duration of the first scene and the second scene are each greater than a predetermined threshold.

13. The method according to claim 1, wherein the indication of the existence of the input transition scene includes:

a signal indicating that the second frame is the first image of the second scene along with an indication of a duration of the input transition scene.

14. The method according to claim 13, wherein the indication of the duration of the input transition scene is based on a difference between a picture order count (POC) between the second picture and the first picture.

15. The method according to claim 13, wherein the indication of the duration of the input transition scene is based on a duration time value being included in the header of the second picture.

16. The method according to claim 13, wherein the signal is included in a header of the second picture.

17. The method according to claim 13, wherein the signal is included a Supplementary Enhancement Information (SEI) message.

18. The method according to claim 1, wherein the second picture is decoded prior to the generation of the transition scene that corresponds to the input transition scene, and the transition scene that corresponds to the input transition scene is output prior to the second scene being outputted in the outputted video content.

19. An apparatus, comprising:

processing circuitry configured to: decode encoded video content from an encoding system, wherein the encoding system performs a scene change detection process that includes identifying a first picture among a sequence of pictures that corresponds to a last picture of a first scene, identifying a second picture among the sequence of pictures that corresponds to a first picture of a second scene, and determining that one or more pictures that are between the first picture and the second picture in the sequence of pictures correspond to an input transition scene between the first scene and the second scene, and the received encoded video content is encoded without encoding all of the pictures of the input transition scene, and includes an indication of an existence of the input transition scene and information for reproducing a transition scene that corresponds to the input transition scene; generate the transition scene that corresponds to the input transition scene based on the received indication of the existence of the input transition scene and the information for reproducing the transition scene; and output video content that includes the transition scene that corresponds to the input transition scene in a sequence that is between the first scene and the second scene.

20. A non-transitory computer readable medium storing instructions which when executed by a computer for video decoding cause the computer to perform:

decoding encoded video content from an encoding system, wherein the encoding system performs a scene change detection process that includes identifying a first picture among a sequence of pictures that corresponds to a last picture of a first scene, identifying a second picture among the sequence of pictures that corresponds to a first picture of a second scene, and determining that one or more pictures that are between the first picture and the second picture in the sequence of pictures correspond to an input transition scene between the first scene and the second scene, and the received encoded video content is encoded without encoding all of the pictures of the input transition scene, and includes an indication of an existence of the input transition scene and information for reproducing a transition scene that corresponds to the input transition scene;

generating the transition scene that corresponds to the input transition scene based on the received indication of the existence of the input transition scene and the information for reproducing the transition scene; and

outputting video content that includes the transition scene that corresponds to the input transition scene in a sequence that is between the first scene and the second scene.