Abstract: Interpolation between explicitly signaled CPB (or HRD) parameters at selected bit rates is used to achieve a good compromise between CPB parameter transmission capacity and CPB parametrization effectiveness and may be, particularly, made in an effective manner.

Abstract: Interpolation between explicitly signaled CPB (or HRD) parameters at selected bit rates is used to achieve a good compromise between CPB parameter transmission capacity and CPB parametrization effectiveness and may be, particularly, made in an effective manner.

Abstract: Method and apparatus of video coding are disclosed. According to one method, in the decoder side, a predefined Intra mode is assigned to a neighboring block adjacent to the current luma block when the neighboring block satisfies one or more conditions. An MPM (Most Probable Mode) list is derived based on information comprising at least one of neighboring Intra modes. A current Intra mode is derived utilizing the MPM list. The current luma block is decoded according to the current Intra mode According to another method, a predefined Intra mode is assigned to a neighboring block adjacent to the current luma block if the neighboring block is coded in BDPCM (Block-based Delta Pulse Code Modulation) mode, where the predefined Intra mode is set to horizontal mode or vertical mode depending on prediction direction used by the BDPCM mode.

Abstract: A method is provided for inter-coding video in which transmission bandwidth requirements associated with second motion vectors for bi-directional temporal prediction is reduced. In the method, vector information for one of motion vectors for multi-directional temporal prediction can be transmitted together with information on how to derive or construct the second motion vectors. Thus, rather than sending express information regarding each of the plurality of motion vectors, express information related to only one motion vector along with information related to reconstruction/derivation of the second motion vectors is transmitted, thus reducing bandwidth requirements and increasing coding efficiency.

Abstract: A method of decoding JVET video includes receiving a bitstream indicating how a coding tree unit was partitioned into coding units, and parsing said bitstream to generate at least one predictor based on an intra prediction mode signaled in the bitstream. The predictor may be generated by interpolating neighboring pixels for each pixel within a coding block. The computation may be more accurate by deriving a value for a bottom right neighboring pixel.

Abstract: Techniques for coding and deriving (e.g., determining) one or more coded-block-flags associated with video content are described herein. A coded-block-flag of a last node may be determined when coded-block-flags of preceding nodes are determined to be a particular value and when a predetermined condition is satisfied. In some instances, the predetermined condition may be satisfied when log2(size of current transform unit) is less than log2(size of maximum transform unit) or log2(size of current coding unit) is less than or equal to log2(size of maximum transform unit)+1. The preceding nodes may be nodes that precede the last node on a particular level in a residual tree.

Abstract: A method for intra prediction includes: enabling intra prediction, and determining occupancy information of a first number of neighboring nodes of a coded node; determining occupancy information of a second number of neighboring nodes of the coded node based on a position association between at least one neighboring node of the coded node and a child node of the coded node, where the first number is greater than the second number; and determining an occupancy prediction result of the child node of the coded node based on the occupancy information of the second number of neighboring nodes. An encoder for implementing the above method is also provided.

Abstract: A learning model is trained for rate-distortion behavior prediction against a corpus of a video hosting platform and used to determine optimal bitrate allocations for video data given video content complexity across the corpus of the video hosting platform. Complexity features of the video data are processed using the learning model to determine a rate-distortion cluster prediction for the video data, and transcoding parameters for transcoding the video data are selected based on that prediction. The rate-distortion clusters are modeled during the training of the learning model, such as based on rate-distortion curves of video data of the corpus of the video hosting platform and based on classifications of such video data. This approach minimizes total corpus egress and/or storage while further maintaining uniformity in the delivered quality of videos by the video hosting platform.

Abstract: Methods, systems and devices for implementing constraints used in video encoding and video decoding are described. An example method of video processing includes performing a conversion between a video including one or more pictures including one or more slices and a bitstream of the video, wherein the bitstream is organized into a plurality of access units (AUs), AU 0 to AU n, based on a format rule, where n is a positive integer, wherein the format rule specifies a relationship between removal times of each of the plurality of AUs from a coded picture buffer (CPB) during decoding and a number of slices in the each of the plurality of AUs.

Abstract: A compression system trains a machine-learned compression model that includes components for an encoder and decoder. In one embodiment, the compression model is trained to receive parameter information on how a target frame should be encoded with respect to one or more encoding parameters, and encodes the target frame according to the respective values of the encoding parameters for the target frame. In particular, the encoder of the compression model includes at least an encoding system configured to encode a target frame and generate compressed code that can be transmitted by, for example, a sender system to a receiver system. The decoder of the compression model includes a decoding system trained in conjunction with the encoding system. The decoding system is configured to receive the compressed code for the target frame and reconstruct the target frame for the receiver system.

Abstract: Methods and apparatus for video processing, including coding and decoding, are described. One example video processing method includes performing a conversion between a video having one or more video layers and a bitstream of the video according to a format rule, and wherein the format rule specifies that a value of a flag that indicates whether to remove pictures previously decoded and stored in a decoded picture buffer from the decoded picture buffer when decoding an access unit of a certain type is included in the bitstream.

Abstract: Region of interest (ROI)-based upscaling for video conferences, the method including: identifying, in a video frame of a video conference at a first resolution, a boundary region for an object; applying, to a portion of the video frame bound by the boundary region, a machine learning upscaling algorithm to generate an upscaled portion of the video frame corresponding to a second resolution; and generating an upscaled video frame at the second resolution by combining a first plurality of pixels in the upscaled portion of the video frame corresponding to the object with a second plurality of pixels.

Abstract: A method includes generating, by a camera of a monitoring system that is configured to monitor a property, first image data at a first time, analyzing the first image data, determining that the first image data includes a first object that likely corresponds to a person, generating, second image data at a second, later time, analyzing the second image data, determining that the second image includes a second object that likely corresponds to a person, comparing the first object that likely corresponds to a person to the second object that likely corresponds to a person, based on comparing the first object that likely corresponds to a person to the second object that likely corresponds to a person and based on a difference between the first time and the second, later time, determining that a person is likely moving towards the camera, and performing a monitoring system action.

Abstract: Interpolation between explicitly signaled CPB (or HRD) parameters at selected bit rates is used to achieve a good compromise between CPB parameter transmission capacity and CPB parametrization effectiveness and may be, particularly, made in an effective manner.

Abstract: An image coding method includes: generating a first flag indicating whether or not a motion vector predictor is to be selected from among one or more motion vector predictor candidates; generating a second flag indicating whether or not a motion vector predictor is to be selected from among the one or more motion vector predictor candidates in coding a current block to be coded in a predetermined coding mode, when the first flag indicates that a motion vector predictor is to be selected; and generating a coded signal in which the first flag and the second flag are included in header information, when the first flag indicates that a motion vector predictor is to be selected.

Abstract: A three-dimensional data encoding method includes encoding information of a current node included in an N-ary tree structure of three-dimensional points included in three-dimensional data, where N is an integer greater than or equal to 2. In the encoding, reference to information of a first node included in neighboring nodes spatially neighboring the current node is permitted, and reference to information of a second node included in the neighboring nodes is prohibited, the first node having a same parent node as the current node, the second node having a different parent node from the parent node of the current node.

Abstract: Embodiments described herein provide systems and methods for sharing encoder output of video streams. In a particular embodiment, a method provides determining video profiles for each of a plurality of devices. The method further provides determining if two or more of the video profiles are similar by determining if parameters associated with each video profile differ by less than a threshold value. The method further provides transmitting a video stream encoded in a single format to the devices if they have similar profiles and transmitting video streams encoded in different formats to the devices if they do not have similar profiles.

Abstract: Interpolation between explicitly signaled CPB (or HRD) parameters at selected bit rates is used to achieve a good compromise between CPB parameter transmission capacity and CPB parametrization effectiveness and may be, particularly, made in an effective manner.

Abstract: A method of operating a surgical microscope includes receiving an instruction to move the camera relative to the object, operating a zoom lens to zoom out and displaying images obtained by processing images recorded by the camera such that centers of the displayed images correspond to a target position within the recorded images and such that the magnification of the object displayed in the images is the initial magnification, wherein the target position is displaced within the recorded images relative to the first position, and operating actuators to move the camera.

Abstract: A video data processing method is provided. In the method, video features of a target video are acquired. The video features include background features and key part region features. An expected quality of a key part of the target video is acquired. The expected quality of the key part corresponds to an image quality of the key part in a transcoded target video after the target video is transcoded. A background prediction transcoding parameter of the target video is determined based on the background features and an expected quality of a background. The expected quality of the background corresponds to an overall image quality of the transcoded target video. A target transcoding parameter prediction value is determined based on the background features, the key part region features, and the background prediction transcoding parameter. The target video is transcoded according to the target transcoding parameter prediction value.