Abstract: A method of decoding JVET video, comprising defining a coding unit (CU) template within a decoded area of a video frame, the CU template being positioned above and/or to the left of a current decoding position for which data was intra predicted, defining a search window within the decoded area, the search window being adjacent to the CU template, generating a plurality of candidate prediction templates based on pixel values in the search window, each of the plurality of candidate prediction templates being generated using different intra prediction modes, calculating a matching cost between the CU template and each of the plurality of candidate prediction templates, selecting an intra prediction mode that generated the candidate prediction template that had the lowest matching cost relative to the CU template, and generating a prediction CU for the current decoding position based on the intra prediction mode.

Abstract: A process for determining the selection of filters and input samples is provided for scalable video coding. The process provides for re-sampling using video data obtained from an encoder or decoder process of a base layer (BL) in a multi-layer system to improve quality in Scalable High Efficiency Video Coding (SHVC). In order to accommodate other applications such as interlace/progressive scalability and to increase the resolution of the alignment between layers, it is proposed that the phase offset adjustment parameters be signaled.

Abstract: A method of decoding a bitstream comprising decoding the bitstream into color values and metadata items indicating information about adaptive post-processing operations performed by a decoder, performing high dynamic range (HDR) adaptation operations on the color values based on the metadata items, and performing fixed post-processing operations to reconstruct an HDR video from the color values, wherein the HDR adaptation operations convert color values into a format expected by the fixed post-processing operations.

Abstract: In one embodiment, a method for encoding sample adaptive offset (SAO) values in a video encoding process is provided, the method comprising: selecting an edge offset type; selecting one of one or more edge offset sub-classes; within at least one of the edge offset sub-classes, generating an interpolated pixel value that is related to a current pixel value; generating an offset value that is related to the interpolated pixel value; and optionally applying the offset value to at least the current pixel value to form an SAO compensated value.

Abstract: Systems and methods that improve video quality by signaling of parameters in a sample adaptive offset (SAO) process are disclosed. The methods and systems described herein generally pertain to video processing such as video encoders and decoders.

Abstract: A method of decoding JVET video, comprising receiving a bitstream indicating how a coding tree unit was partitioned into coding units according to a partitioning structure that allows nodes to be split according to a partitioning technique. An intra direction mode for a coding unit may be selected, as well as one or more of the plurality of reference lines to generate at least one predictor for the intra direction mode. A predictor may be generated from reference samples within each selected reference line by combining predicted pixel values based on a projected position on a main reference line in combination with predicted pixel values based on a projected position on a side reference line. The predicted pixel values are weighted according to a weight parameter, wherein the weight parameter is determined based on a shift conversion factor.

Abstract: A method of decoding JVET video, comprising defining a coding unit (CU) template within a decoded area of a video frame, the CU template being positioned above and/or to the left of a current decoding position for which data was intra predicted, defining a search window within the decoded area, the search window being adjacent to the CU template, generating a plurality of candidate prediction templates based on pixel values in the search window, each of the plurality of candidate prediction templates being generated using different intra prediction modes, calculating a matching cost between the CU template and each of the plurality of candidate prediction templates, selecting an intra prediction mode that generated the candidate prediction template that had the lowest matching cost relative to the CU template, and generating a prediction CU for the current decoding position based on the intra prediction mode.

Abstract: A method of decoding a bitstream comprising decoding the bitstream into color values and metadata items indicating information about adaptive post-processing operations performed by a decoder, performing high dynamic range (HDR) adaptation operations on the color values based on the metadata items, and performing fixed post-processing operations to reconstruct an HDR video from the color values, wherein the HDR adaptation operations convert color values into a format expected by the fixed post-processing operations.

Abstract: A process for determining the selection of filters and input samples is provided for scalable video coding. The process provides for re-sampling using video data obtained from an encoder or decoder process of a base layer (BL) in a multi-layer system to improve quality in Scalable High Efficiency Video Coding (SHVC). In order to accommodate other applications such as interlace/progressive scalability and to increase the resolution of the alignment between layers, it is proposed that the phase offset adjustment parameters be signaled.

Abstract: In one embodiment, a method for encoding sample adaptive offset (SAO) values in a video encoding process is provided, the method comprising: selecting an edge offset type; selecting one of one or more edge offset sub-classes; within at least one of the edge offset sub-classes, generating an interpolated pixel value that is related to a current pixel value; generating an offset value that is related to the interpolated pixel value; and optionally applying the offset value to at least the current pixel value to form an SAO compensated value.

Abstract: A sampling filter process for scalable video coding provides correction for phase shift occurring during downsampling. The process uses video data obtained from an encoder or decoder process of a base layer (BL) in a multi-layer system using adaptive phase shifting based on downsampling to improve quality. Examples of a multi-layers are MPEG-4 Advanced Video Coding (AVC) and High Efficiency Video Coding (HEVC). The re-sampled BL data can be used in higher layers in a scalable video coding system. For example, the re-sampled or upsampled data can be used as a basis for prediction of the higher resolution video data.

Abstract: In one embodiment, a method for decoding a video bitstream comprises the steps of: (a) receiving a video bitstream; (b) deriving processed video data from the bitstream; (c) partitioning the processed video data into blocks, wherein each of the blocks is equal to or smaller than a picture; (d) deriving an SAO type from the video bitstream for each of the blocks, wherein the SAO type is associated with a specific nonbiased coding scheme; (e) determining an SAO sub-class associated with the SAO type for each of the pixels in each of the blocks; (f) deriving intensity offset from the video bitstream for the sub-class associated with the SAO type; and (g) applying SAO compensation to each of the pixels in a processed video block, wherein the SAO compensation is based on the intensity offset of step (f).

Abstract: In one embodiment, a method for encoding sample adaptive offset (SAO) values in a video encoding process is provided, the method comprising: selecting an edge offset type; selecting one of one or more edge offset sub-classes; within at least one of the edge offset sub-classes, generating an interpolated pixel value that is related to a current pixel value; generating an offset value that is related to the interpolated pixel value; and optionally applying the offset value to at least the current pixel value to form an SAO compensated value.

Abstract: Disclosed is a method comprising: (a) receiving a layer 0 bitstream, the layer 0 bitstream including coding information for the layer 0 bitstream; (b) receiving a layer 1 bitstream, the layer 1 bitstream including coding information for the layer 1 bitstream; and (c) reconstructing the layer 0 bitstream using previously received information for another layer 0 bitstream and previously received information for another layer 1 bitstream.

Abstract: A method is provided for encoding a digital video to improve perceptual quality. The method includes receiving a digital video at a video encoder, providing a perceptual quantizer function defined by PQ ? ( L ) = ( c 1 + c 2 ? L m 1 1 + c 3 ? L m 1 ) m 2 , wherein L is a luminance value, c1, c2, c3, and m1 are parameters with fixed values, and m2 is a parameter with a variable value, adapting the perceptual quantizer function by adjusting the value of the m2 parameter based on different luminance value ranges found within a coding level of the digital video, encoding the digital video into a bitstream using, in part, the perceptual quantizer function, transmitting the bitstream to a decoder, and transmitting the value of the m2 parameter to the decoder for each luminance value range in the coding level.

Abstract: Systems and methods that improve video quality by signaling of parameters in a sample adaptive offset (SAO) process are disclosed. The methods and systems described herein generally pertain to video processing such as video encoders and decoders.

Abstract: A method of decoding a bitstream comprising decoding the bitstream into color values and metadata items indicating information about adaptive post-processing operations performed by a decoder, performing high dynamic range (HDR) adaptation operations on the color values based on the metadata items, and performing fixed post-processing operations to reconstruct an HDR video from the color values, wherein the HDR adaptation operations convert color values into a format expected by the fixed post-processing operations.

Abstract: A video data encoder generates a first metadata structure to describe one or more transfer functions to be applied by a decoder to reshape decoded video data into video data. The encoder segments a transfer function relative to P pivot points. It then allocates P cells in the metadata structure for storing the P pivot points. Each transfer function segment is fitted to a respective equation having N coefficients based on the order of the equation. The encoder allocates N+1 cells for each pivot point except for the Pth pivot point and stores the number N in the first cell and the N coefficients in the remaining cells. The encoder generates a second metadata structure, associated with a video data set, that includes data identifying the transfer function to be applied to the video data set. The encoder encodes the video data including the first and second metadata structures.

Abstract: A method for transforming high dynamic range (HDR) video data into standard dynamic range (SDR) video data and encoding the SDR video data so that the HDR video data may be recovered at the decoder includes generating a tone map describing a transformation applied to the HDR video data to generate the SDR video data. The generated tone map describes the transformation as the multiplication of each HDR pixel in the HDR video data by a scalar to generate the SDR video data. The tone map is then modeled as a reshaping transfer function and the HDR video data is processed by the reshaping transfer function to generate the SDR video data. The reshaping transfer function is then inverted and described in a self-referential metadata structure. The SDR video data is then encoded including the metadata structure defining the inverse reshaping transfer function.

Abstract: A system and method for regenerating high dynamic range (HDR) video data from encoded video data, extracts, from the encoded video data, a self-referential metadata structure specifying a video data reshaping transfer function. The video data reshaping transfer function is regenerated using data from the metadata structure and the extracted reshaping transfer function is used to generate the HDR video data by applying decoded video data values to the reshaping transfer function.