Tencent America LLC

Hfi Innovation Inc.

Mediatek Corporation

Huawei Technologies Co., Limited

Future Wei Technologies, Inc.

Mediatek Singapore Pte. Ltd.

Tencent Technology (shenzhen) Company Limited

At&t Intellectual Property Ii, L.p.

Other

At&t Corp.

Shan Liu

Xin Zhao

Xiang Yang Li

Xiaozhong Xu

Liang Zhao

Stephan Wenger

Byeongdoo Choi

Guichun Li

Xiang Li

Xiang Zhang

Wen Gao

Jing Ye

Wei Jiang

Sehoon Yea

Yixin Du

Madhu Peringassery Krishnan

Lien-Fei Chen

Tzu-Der Chuang

Jun Tian

Meng Xu

Wei W Wang

Ling Li

Han Gao

Cheung Auyeung

Arash Vosoughi

Wei Wang

Chao Huang

Wang-Lin Lai

Shaw-Min Lei

Ching-Yeh Chen

Yu-Wen Huang

Yu-Chen Sun

Ding Ding

Shuai Zhao

Jungsun Kim

Sheng Lin

Wang Lin Lai

Weiwei Feng

Lulin Chen

Haitao Yang

Zhenzhong Chen

Iraj Sodagar

Yiming Li

Chih-Wei Hsu

Yin Zhao

Mei Guo

Zeqiang Li

David Crawford Gibbon

Andrea Basso

Yi-Wen Chen

Xin Ru Wang

Eric Cosatto

Hans Peter Graf

Bing Jian

Thuong Nguyen Canh

Ximin Zhang

Han Huang

Xiang Ma

Shan Gao

Ding-Yun Chen

Roman Chernyak

Hong Zhang

Jiantong Zhou

Jiali Fu

Samruddhi Yashwant Kahu

Yu Wang

Anish Tamse

Huanbang Chen

Bin Zhu

Semih Esenlik

Anand Meher Kotra

Zhijie Zhao

Jicheng An

Sergey Yurievich Ikonin

Shih-Ta Hsiang

Roman Igorevich Chernyak

Xianguo Zhang

Victor Alexeevich Stepin

Yingbin Wang

Sijia Chen

Jian-Liang Lin

Yung-Chang Chang

Alexey Konstantinovich Filippov

Vasily Alexeevich Rufitskiy

Weijia Zhu

Lei Li

Chih-Ming Fu

Ying Hu

Sriram Sethuraman

Fai Yeung

Qing Zhang

Chia-Yang Tsai

Alexander Alexandrovich Karabutov

Tao Zhang

Jeeva Raj A

Sagar Kotecha

Wenbo Li

Shitao Wang

Coded information of a current block and neighboring blocks of the current block is received, where the current block is predicted in an intra directional mode. The intra directional mode of the current block is determined to be associated with an angle that is one of smaller than 90 degrees and larger than 180 degrees. In response to the intra directional mode of the current block being associated with the angle, whether a delta angle associated with the current block is a pre-defined delta angle is determined. In response to the delta angle associated with the current block not being the pre-defined delta angle, a single direction intra prediction and not a bi-direction intra prediction is applied to the current block. A sample of the current block is reconstructed based on an adjacent reference sample on a reference line that is determined according to the single direction intra prediction.

Angular intra prediction

A method of encoding includes receiving a polygon mesh comprising a plurality of original vertices. The method further includes deriving an initial base mesh from the polygon mesh, the initial base mesh including a first set of base mesh vertices. The method further includes performing a symmetrize process on the initial base mesh to generate a symmetrical base mesh that includes a first side having the first set of base mesh vertices and a second side having a second set of base mesh vertices, each base mesh vertex in the first set of base mesh vertices having a corresponding symmetric vertex in the second set of base mesh vertices. The method further includes determining a first displacement between each original vertex in the polygon mesh located on the second side of the symmetrical base mesh and a nearest vertex included in the second set of base mesh vertices.

Base mesh coding by using surface reflection symmetry

A method performed by at least one processor in a decoder includes receiving a coded video bitstream that includes a compressed two dimensional (2D) mesh corresponding to a surface of three dimensional (3D) volumetric object. The method further includes predicting a current vertex included in the compressed 2D mesh based on an interpolation-based hierarchical prediction scheme that uses at least one sampled vertex included in the compressed 2D mesh. The method further includes deriving a prediction residual associated with the predicted current vertex. The method further includes reconstructing a boundary vertex associated with the 3D volumetric object based on the predicted current vertex and the derived prediction residual.

Coding of boundary UV2XYZ index for mesh compression

Aspects of the disclosure provide a method, an apparatus, and non-transitory computer-readable storage medium for video decoding. The apparatus includes processing circuitry configured to decode at least one first key picture of pictures from a multi-view bitstream. The pictures correspond to different views. The at least one first key picture corresponds to at least one first view of the different views. The processing circuitry determines first feature information of content in the at least one first key picture. The processing circuitry decode, based on the multi-view bitstream, a first feature change to the first feature information. The first feature change indicates a content change between a key picture in the at least one first key picture and a first picture. The processing circuitry reconstructs the first picture based on the decoded first feature change, the first feature information, and the key picture in the at least one first key picture.

Feature-based multi-view representation and coding

An approach for reconstructing a current Network Abstraction Layer (NAL) unit for video decoding using at least one processor includes determining the current NAL unit to be an Intra Random Access Picture (IRAP) NAL unit; determining whether a previous NAL unit decoded immediately before the current NAL unit indicates an end of a coded video sequence (CVS); based on determining that the previous NAL unit indicates the end of the CVS, decoding the current NAL unit as one from among an Instantaneous Decoder Refresh (IDR) NAL unit or a Broken Link Access (BLA) NAL unit; and based on determining that the previous NAL unit does not indicate the end of the CVS, decoding the current NAL unit as a Clean Random Access (CRA) NAL unit, and reconstructing the decoded current NAL unit.

Identification of random access point and picture types

Aspects of the disclosure include methods and an apparatus for video coding. The apparatus includes processing circuitry that receives coded information of a current block in a current picture. The current block is coded with a first intra prediction mode that is different from a plurality of intra prediction modes including a DC mode, a Planar mode, and angular intra prediction modes. A candidate block in the current picture coded by an intra prediction mode different from the plurality of intra prediction modes is selected. If the candidate block is located within a pre-defined region, a second intra prediction mode is derived from the plurality of intra prediction modes for the candidate block. The second intra prediction mode is associated with the current block and is used to select a transform for the current block and/or to construct a most probable mode (MPM) list for another block.

Intra prediction mode derivation for coding blocks

A method performed by at least one processor of a video decoder includes receiving a coded video bitstream including at least one picture and one or more syntax elements encoded in accordance with multi-hypothesis arithmetic coding. The method further includes decoding each syntax element from the one or more syntax elements based on the multi-hypothesis arithmetic coding. The method further includes selecting a probability update rate from a plurality of probability update rates based on a predetermined condition, the plurality of probability update rates including a first probability update rate that is higher than a second probability update rate. The method further includes updating at least one probability model utilized in the multi-hypothesis arithmetic coding based on the selected probability update rate. The method further includes decoding at least one block in the at least one picture based on the decoded one or more syntax elements.

Method and apparatus for adaptive multi-hypothesis probability model for arithmetic coding

Aspects of the disclosure provide methods and apparatuses for video encoding/decoding. In some examples, an apparatus for video decoding includes receiving circuitry and processing circuitry. The processing circuitry receives coded information of a block that is encoded in a palette based coding mode. The block is a beginning of a predefined coding region that includes one or more coding tree units (CTUs). The processing circuitry further determines a palette for the block independently of palette information of one or more previously decoded blocks of the palette based coding mode, and decodes pixels of the block based on the coded information of the block and the determined palette for the block.

Method and apparatus for video coding

A method, computer program, and computer system is provided for aligning across layers in a coded video stream. A video bitstream having multiple layers is decoded. One or more subpicture regions are identified from among the multiple layers of the decoded video bitstream, the subpicture regions including a background region and one or more foreground subpicture regions. An enhanced subpicture is decoded and displayed based on a determination that a foreground subpicture region is selected. The background region is decoded and displayed based on a determination that a foreground subpicture region was not selected.

Method for alignment across layers in coded video stream

Aspects of the disclosure provide methods and apparatuses for video encoding/decoding. In some examples, an apparatus for video decoding includes receiving circuitry and processing circuitry. The processing circuitry receives a bitstream carrying a plurality of pictures, and determines at least a motion compensation padding (MCP) block that is located in an MCP area outside of a picture and next to a picture boundary of the picture. The processing circuitry derives, according to a plurality of candidates with positions located at the picture boundary within the picture, a motion vector of the MCP block for motion compensated boundary padding, and reconstructs at least a sample in the MCP block according to the derived motion vector for the motion compensated boundary padding.

On motion compensated picture boundary padding

The various implementations described herein include methods and systems for coding video. The methods include receiving a motion vector difference (MVD) of a video block from the video stream; in response to a determination that an adaptive MVD resolution mode of an inter prediction mode is signaled, searching for a first template of a prediction video block for the video block, and the first/second template is the neighboring reconstructed/predicted samples of the prediction video block/current block, and the prediction video block is a reconstructed/predicted forward or backward video block of the video block; locating the first template of the prediction video block that is a best match for a second template of the video block; refining a motion vector (MV) of the video block based on at least the second template, the located first template, and the MVD; and reconstructing/processing the video block based on at least the refined MV.

Systems and methods for template matching for adaptive MVD resolution

Processing circuitry receives a coded video bitstream comprising coded information of a current block in a current picture, the coded information is indicative of an AMVP-merge mode, the AMVP-merge mode uses a bi-directional predictor including an AMVP predictor in a first direction and a merge predictor in a second direction. The processing circuitry constructs an AMVP candidate list that includes a plurality of AMVP candidates for the AMVP predictor and constructs a merge candidate list that includes a plurality of merge candidates for the merge predictor. The merge candidate list includes an SbTMVP candidate. The processing circuitry determines the AMVP predictor from the AMVP candidate list, determines the merge predictor from the merge candidate list, and reconstructs the current block according to a combination of a first prediction according to the AMVP predictor in the first direction and a second prediction according to the merge predictor in the second direction.

AMVP-merge mode with SBTMVP

A method and an apparatus including processing circuitry for video processing are provided. For a first region in a chroma block in a current picture, the processing circuitry is configured to update an offset parameter in a cross-component linear model (CCLM) mode based on a first subset of reconstructed samples in a luma block that is collocated with the chroma block in the current picture. The first subset of the reconstructed samples does not include one or more reconstructed samples in the luma block. The processing circuitry is configured to update a slope parameter in the CCLM mode based on a second subset of the reconstructed samples in the luma block and encode the first region in the chroma block based on the updated offset parameter and the updated slope parameter using the CCLM mode.

Adaptive parameter selection for cross-component prediction in image and video compression

Various implementations described herein include methods and systems for coding video. In one aspect, a video bitstream includes a current image frame and a first syntax element. An electronic device determines that the first syntax element has a first predefined value indicating that the cross-component sample offset (CCSO) mode is enabled, and generates a set of adapted luma samples including an adapted first luma sample and its adapted neighboring luma samples based on a set of reconstructed luma samples. The reconstructed luma samples include a first luma sample that is collocated with a first color sample. The electronic device determines the first sample offset of the first color sample based on the adapted first luma sample and the one or more adapted neighboring luma samples. The current image frame is reconstructed at least by adjusting the first color sample based on the first sample offset.

CCSO with downsampling filters and sample position selection

Aspects of the disclosure provide a method, an apparatus, and non-transitory computer-readable storage medium for video decoding. The apparatus includes processing circuitry that reconstructs blocks of an image that is to be reconstructed from a coded video bitstream. The processing circuitry decodes first deblocking information in the coded video bitstream including a first deblocking parameter of a deep neural network (DNN) in a video decoder. The first deblocking parameter of the DNN is an updated parameter that has been previously determined by a content adaptive training process. The processing circuitry determines the DNN for a first boundary region comprising a subset of samples in the reconstructed blocks based on the first deblocking parameter included in the first deblocking information. The processing circuitry deblocks the first boundary region comprising the subset of samples in the reconstructed blocks based on the determined DNN corresponding to the first deblocking parameter.

Content-adaptive online training method and apparatus for deblocking in block-wise image compression

Growing community of inventors

San Jose, CA, United States of America

Shan Liu