Qualcomm Incorporated

Other

Shumaker & Sieffert, P.a.

Vadim Seregin

Marta Karczewicz

Wei-Jung Chien

Han Huang

Muhammed Zeyd Coban

Nan Hu

Rajan Laxman Joshi

Jianle Chen

Amir Said

Hilmi Enes Egilmez

Xin Zhao

Wei Pu

Chun-Chi Chen

Joel Sole Rojals

Adarsh Krishnan Ramasubramonian

Yao-Jen Chang

Krishnakanth Rapaka

Cheng-Teh Hsieh

Xianglin Wang

Feng Zou

Zhi Zhang

Li Feng Zhang

Xiang Yang Li

Yan Zhang

Ye-Kui Wang

Ying Hai Chen

Yong He

Geert Van Der Auwera

Luong Pham Van

Hongtao Wang

Bappaditya Ray

Chao Pang

Yung-Hsuan Chao

Vijayaraghavan Thirumalai

Kevin Pascal Andre Reuze

Hsiao-Chiang Chuang

Yu Han

Keming Cao

Yi-Wen Chen

Dmytro Rusanovskyy

Liwei Guo

Yu-Chen Sun

Jie Dong

Sungwon Lee

Alican Nalci

Chengjie Tu

Akshay Gadde

Fnu Hendry

Venkata Meher Satchit Anand Kotra

Jingya Li

Kai Zhang

Xiang Li

Anand Meher Kotra

Yunfei Zheng

In Suk Chong

Louis Joseph Kerofsky

Kai Wang

Sanjeev Kumar

Po-Han Lin

Shu Xiao

Nikolay Mikhaylovich Shlyakhov

Kevin Reuze

Pavel Nikitin

Ying Chen

A video decoder is configured to receive bin values according to a context model, wherein the context model includes one or more probability states and the bin values correspond to one or more syntax elements of the video data; determine a first shift value based on the received bin values; determine a second shift value based on the received bin values; update a first state variable based on the first shift value; update a second state variable based on the second shift value; determine, for a next bin to be decoded, a probability state for the context model based on the first state variable and the second state variable; context decode the next bin to be decoded based on the probability state; and determine values for the one or more syntax elements based on the received bin values and the context decoded next bin value.

Context adaptive binary arithmetic coding (CABAC) probability estimation for video coding

A method of decoding video data includes determining a vector predictor for a current block; determining a first set of vector difference candidates based on a first pel-interval, the first pel-interval defining a first distance between consecutive vector difference candidates in the first set of vector difference candidates starting with the vector predictor; determining a second set of vector difference candidates based on the first set of vector difference candidates and a second pel-interval, the second pel-interval defining a second distance between consecutive vector difference candidates in the second set of vector difference candidates; constructing a vector difference candidate list based on the second set of vector difference candidates; determining a vector for the current block based on the vector predictor and a vector difference from the vector difference candidate list; and reconstructing the current block based on the vector for the current block.

Vector difference candidate list construction

A method of encoding or decoding video data includes determining a block vector for a current block of a current picture, the block vector identifying a fractional-pel position between reference samples in the current picture and having a fractional-pel resolution that is less than integer-pel resolution; generating a prediction block from reference samples in the current picture based on the fractional-pel position; and encoding or decoding the current block based on the prediction block.

Fractional-pel block vector for video coding

Systems, methods, and media are provided for loop filtering across raster scan slices. One example includes obtaining the video data comprising one or more pictures and a first block of a picture having a pixel subject to filtering. A second block is determined to be located in the first slice in a particular relation to the second block. A third block that includes pixels for filtering the pixel is determined to be in a second slice at a diagonal corner of the first block, with filtering across slice boundaries disabled. First one or more pixels of the second block are identified as available for performing loop filtering of the pixel and second one or more pixels of the third block identified as unavailable for performing the loop filtering of the pixel of the first block. The first one or more pixels and the second one or more pixels are padded.

Reusing adaptive loop filter (ALF) sub-picture boundary processing for raster-scan slice boundaries

A method of encoding or decoding video data includes determining that geometric partition mode is enabled for a current block of the video data, the geometric partition mode comprising a plurality of split modes that each defines an edge for partitioning; for each split mode among at least two of the plurality of split modes, determining a respective cost associated with a respective split mode; constructing, based on the respective costs associated with the respective split modes, a mapping list including index values respectively associated with values indicative of the respective split modes, where a lower index value is associated with a first split mode having a lower cost than a second split mode with a higher index value; determining a split mode amongst the plurality of split modes within the mapping list; and reconstructing a current block of the video data based on the split mode.

Geometric partition mode in video coding

An example device for decoding video data includes a memory configured to store video data; and one or more processors implemented in circuitry and configured to: decode a current block of the video data to form a decoded block; determine that a current sample of the decoded block neighbors a sample along a virtual boundary in the decoded block and neighbors one or more samples that are not along any virtual boundary in the decoded block; compute band information for cross component sample adaptive offset (CCSAO) for the current sample using at least one of the one or more samples that are not along any virtual boundary in the decoded block and without using the sample along the virtual boundary; and perform CCSAO on the current sample using the band information.

Virtual boundary processing for CCSAO, bilateral filter and adaptive loop filter for video coding

An example device for decoding video data includes a memory configured to store video data; and a processing system including one or more processors implemented in circuitry, the processing system being configured to: determine that a previously coded block of video data was coded using uni-prediction mode for which a bi-prediction syntax element is not assigned a value; determine that a current block of the video data is to be coded using a bi-prediction mode and that motion information of the current block is to be predicted from the previously coded block, including from the bi-prediction syntax element of the previously coded block; and in response to the bi-prediction syntax element of the previously coded block not having an assigned value, decode the current block using a substitute value for the bi-prediction syntax element.

Using substitute motion information when coding video data

Encoding and decoding video data using an affine decoder side motion vector derivation (DMVR) mode includes receiving a block of video data to be decoded using the affine DMVR mode, and dividing the block into a plurality of subblocks. A video encoder and video decoder may determine a final offset for the affine DMVR mode using a first subset of the plurality of subblocks. The video encoder and decoder may code the block of video data using the final offset to generate a coded block of video data.

Methods of subblock skipping for affine motion search for video coding

An example device for decoding video data includes one or more processors configured to: determine that a first weight and a second weight are specified for a bi-prediction mode predicted current block of video data; determine whether the current block is to be predicted using multi-hypothesis prediction (MHP) mode with the bi-prediction mode as a base mode; in response to determining that the current block is to be predicted using the MHP mode with the bi-prediction mode as the base mode, determine an additional inter-prediction mode of the MHP mode; generate a first prediction block according to the bi-prediction mode; generate a second prediction block according to the additional inter-prediction mode; generate a final prediction block for the current block according to the MHP mode using the first prediction block and the second prediction block; and decode the current block using the final prediction block.

Multiple hypothesis prediction for video coding

An example device for coding video data includes memory configured to store the video data and one or more processors communicatively coupled to the memory. The one or more processors are configured to reduce a bit length of one or more input variables for a linear regression operation to generate one or more reduced bit length input variables, the input variables including at least one of a) one or more delta coordinates, b) one or more delta motion vectors, or c) a value representing a number of subblocks. The one or more processors are configured to perform the linear regression operation and derive an affine motion model based on the performing the linear regression on the one or more reduced bit length input variables. The one or more processors are configured to code a current block of the video data based on the affine motion model.

Bit-length control for linear regression-based affine merge candidate derivation

A method of encoding or decoding video data includes constructing a list of chroma intra-prediction modes for a chroma block of a current block of the video data, wherein constructing includes adding intra-prediction modes of a first group to the list of chroma intra-prediction modes, the first group comprising two or more intra-prediction modes derived from intra-prediction modes of two or more co-located luma blocks of the current block that are co-located with the chroma block; determining an intra-prediction mode for the chroma block from the list of chroma intra-prediction modes; and encoding or decoding the chroma block based on the intra-prediction mode.

Intra chroma mode list construction for video coding

A video coder is configured to construct a merge candidate list of merge candidates, wherein the merge candidate list has N1 candidates, N1 being a positive integer value, reorder the merge candidates in the merge candidate list to create a reordered merge candidate list, reduce the reordered merge candidate list to create an output merge candidate list, wherein the output merge candidate list has N2 candidates, wherein N2 is less than N1, and code a block of video data using the output merge candidate list.

Merge candidate reordering in video coding

A method for coding a block of video data using affine mode includes determining a refined affine model for the current block of video data from a linear regression process using a base motion vector field and a guidance motion vector field as inputs to the linear regression process. The method further includes determining affine merge candidates for the current block using the refined affine model, and coding the current block of video data using the affine merge candidates.

Derivation of affine merge candidates with linear regression for video coding

A video coder may code a sign prediction syntax element that indicates whether a sign prediction hypothesis is correct for a transform coefficient. The video coder may code the sign prediction syntax element using a context-based coding process. The video coder may determine a context for coding the sign prediction syntax element based on a position of the transform coefficient in the block of video data. The context may be further based on a coding mode used to code the block.

Context modeling for sign prediction for video coding

A device for decoding video data includes a memory configured to store video data; and one or more processors implemented in circuitry and configured to: determine that a boundary block of a picture of the video data is bi-directional inter-predicted using a first motion vector and a second motion vector, the boundary block having an edge that touches an edge of the picture; decode the picture, including decoding the boundary block; form a first intermediate padding block using the first motion vector; form a second intermediate padding block using the second motion vector; form a padding block using the first intermediate padding block and the second intermediate padding block; and assign padding values of the padding block to a padding region of the picture neighboring the boundary block on an opposite side of the edge of the picture.

Bi-directional prediction boundary pixel padding with out-of-picture-boundary motion vectors

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San Diego, CA, United States of America

Vadim Seregin