Qualcomm Incorporated

Shumaker & Sieffert, P.a.

Wei-Jung Chien

Marta Karczewicz

Li Feng Zhang

Jianle Chen

Vadim Seregin

Han Huang

Yi-Wen Chen

Xiang Yang Li

Xianglin Wang

Hsiao-Chiang Chuang

Xin Zhao

Kai Zhang

Yu Han

Yu-Chen Sun

Chun-Chi Chen

Peisong Chen

Yung-Hsuan Chao

Muhammed Zeyd Coban

Joel Sole Rojals

Rajan Laxman Joshi

Cheng-Teh Hsieh

Hongtao Wang

Sungwon Lee

Nan Hu

Luong Pham Van

Ying Hai Chen

Liwei Guo

In Suk Chong

Kevin Pascal Andre Reuze

Yunfei Zheng

Dmytro Rusanovskyy

Amir Said

Chao-Hsiung Hung

Geert Van Der Auwera

Feng Zou

Yao-Jen Chang

Adarsh Krishnan Ramasubramonian

Vijayaraghavan Thirumalai

Chengjie Tu

Ye-Kui Wang

Done Bugdayci Sansli

Jaehong Chon

Li Zhang

Hilmi Enes Egilmez

Woo-Shik Kim

Yan Zhang

Alican Nalci

Zhi Zhang

Akshay Gadde

Hongbin Liu

Yan Ye

Xiang Li

Yuriy Reznik

Bappaditya Ray

Tao Wang

Chao Pang

Natan Jacobson

Andrew Edmund Turner

Kai Wang

Sanjeev Kumar

Po-Han Lin

Yang Yu

Jie Dong

Shu Xiao

Guoxin Jin

Clara Ka Wah Sung

Nikolay Mikhaylovich Shlyakhov

Siping Tao

Hyung Joon Kim

A method of decoding video data comprising parsing a sub-prediction unit motion flag from received encoded video data, deriving a list of sub-prediction unit level motion prediction candidates if the sub-prediction unit motion flag is active, deriving a list of prediction unit level motion prediction candidates if the sub-prediction unit motion flag is not active, and decoding the encoded video data using a selected motion vector predictor.

Signaling sub-prediction unit motion vector predictor

Systems, devices, apparatus, and methods, including computer programs encoded on storage media, for truncation error signaling and adaptive dither for lossy bandwidth compression are described. A processor may perform a truncation process for data, where the data is associated with display processing, image processing, or the data processing, where the truncation process for the data results in truncated data. The processor may compute a set of truncation error values associated with the truncation process for the truncated data. The processor may generate a set of residual samples for the truncated data. The processor may generate a bitstream based on the set of residual samples for the truncated data and the set of truncation error values associated with the truncation process.

Truncation error signaling and adaptive dither for lossy bandwidth compression

A video decoder can be configured to determine that a first block of the video data is encoded in a cross component linear model (CCLM) mode; determine that the first block has a first bit depth; determine that a second block of the video data is encoded in the CCLM mode; determine that the second block has a second bit depth that is different than the first bit depth; and decode the first block and the second block in the CCLM mode using a fixed bit depth, wherein the fixed bit depth is different than at least one of the first bit depth or the second bit depth.

Fixed bit depth processing for cross-component linear model (CCLM) mode in video coding

Techniques are described for decoding video data. A video decoder may determine chroma blocks in a chroma quantization group (QG) of the video data, determine a quantization parameter predictor that is the same for each of the chroma blocks of the chroma QG, determine an offset value that is the same for two or more of the chroma blocks of the chroma QG, determine a quantization parameter value for each of the two or more of the chroma blocks in the chroma QG based on the quantization parameter predictor and the offset value inverse quantize coefficients of one or more residual blocks for the chroma blocks based on the determined quantization parameter value, generate the one or more residual blocks based on the inverse quantized coefficients, and reconstruct the chroma blocks based on the one or more residual blocks.

Chroma quantization parameter (QP) derivation 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 a deterministic bounding box from which to retrieve reference samples of reference pictures of video data for performing decoder-side motion vector derivation (DMVD) for a current block of the video data; derive a motion vector for the current block according to DMVD using the reference samples within the deterministic bounding box; form a prediction block using the motion vector; and decode the current block using the prediction block.

Using unrefined motion vectors for performing decoder-side motion vector derivation

An example method includes determining, for each respective coding block of a plurality of coding blocks of a current coding tree unit (CTU) of video data in a current picture of video data, a respective search area of a plurality of respective search areas, wherein at least one of the plurality of search areas includes samples of the current picture located outside of the current CTU, and wherein at least one of the plurality of search areas does not include samples of the current picture located outside of the current CTU; selecting, for each respective coding block and from within the respective search area for the respective coding block, a respective predictor block of a plurality of predictor blocks; and reconstructing samples of each respective coding block based on samples included in a corresponding predictor block in the plurality of predictor blocks.

Intra block copy prediction restrictions in video coding

A device for encoding video data includes a memory configured to store video data, and a video encoder implemented in circuitry and configured to encode a future picture of the video data having a first display order position, the future picture being included in an intra period (IP) of the video data, the IP comprising a plurality of groups of pictures (GOPs), and after encoding the future picture, encode a picture of an ordinal first GOP of the plurality of GOPs using the future picture as a reference picture, each picture of the ordinal first GOP having display order positions earlier than the first display order position. Encoding the future picture in this manner may result in encoding performance improvements with minimal increases in encoding and decoding complexity.

Adaptive GOP structure with future reference frame in random access configuration for video coding

A video coder may determine a motion vector of a non-adjacent block of a current picture of the video data. The non-adjacent block is non-adjacent to a current block of the current picture. Furthermore, the video coder determines, based on the motion vector of the non-adjacent block, a motion vector predictor (MVP) for the current block. The video coder may determine a motion vector of the current block. The video coder may also determine a predictive block based on the motion vector of the current block.

Motion vector prediction

Methods and devices for decoding including a processor configured to determine which picture is a collocated picture, and determine a location of an associated block of the video data in the collocated picture that corresponds to the current block of video data in the current coding picture, based on using previously decoded blocks in the current coding picture to find an initial motion vector between the associated block in the collocated picture and the current block in the current coding picture, where the associated block of the video data includes at least one first derived motion vector. The processor configured to determine at least one second derived motion vector associated with the current block in the current coding picture, when the initial motion vector points to the collocated picture, based on the at least on first derived motion vector associated with the associated block in the collocated picture.

Advanced temporal motion vector prediction

An example device for filtering a decoded block of video data includes one or more processing units configured to construct filters for classes of blocks of a current picture of video data. To construct filters for each of the classes, the processing units are configured to determine a value of a flag that indicates whether a fixed filter is used to predict a set of filter coefficients of the class, and in response to the fixed filter being used to predict the set of filter coefficients, determine an index value into a set of fixed filters and predict the set of filter coefficients of the class using a fixed filter of the set of fixed filters identified by the index value.

Predicting filter coefficients from fixed filters for video coding

An example device for coding video data includes a memory configured to store video data; and one or more processing units implemented in circuitry and configured to: store motion information for a first coding tree unit (CTU) line of a picture in a first history motion vector predictor (MVP) buffer of the memory; reset a second history MVP buffer of the memory; and after resetting the second history MVP buffer, store motion information for a second CTU line of the picture in the second history MVP buffer, the second CTU line being different than the first CTU line. Separate threads of a video coding process executed by the one or more processors may process respective CTU lines, in some examples.

Multiple history based non-adjacent MVPs for wavefront processing of video coding

A device for processing video data includes a memory configured to store video data and one or more processors implemented in circuitry. The one or more processors are configured to obtain unfiltered reference samples for an area of a picture of the video data. The one or more processors are configured to disable intra-reference sample smoothing of the unfiltered reference samples for chroma samples in a YUV 4:2:0 format and in a YUV 4:4:4 format. The one or more processors are further configured to generate, using intra-prediction, chroma samples of a predicted block for a block of the picture based on the unfiltered reference samples when generating the chroma components in the YUV 4:2:0 format and when generating the chroma components in the YUV 4:4:4 format.

Video coding with unfiltered reference samples using different chroma formats

An example method includes encoding, in a video bitstream, a first syntax element specifying whether affine model based motion compensation is enabled; based on affine model based motion compensation being enabled, encoding, in the video bitstream, a second syntax element specifying a maximum number of subblock-based merging motion vector prediction candidates, wherein a value of the second syntax element is constrained based on a value other than a value of the first syntax element; and encoding a picture of the video data based on the maximum number of subblock-based merging motion vector prediction candidates.

Signaling number of subblock merge candidates in video coding

An example device for encoding high dynamic range (HDR) video data includes a memory configured to store video data; and one or more processors implemented in circuitry and configured to: calculate a histogram for an image of the video data, the image being expressed in a linear light format; encode values for the histogram of the image expressed in the linear light format; and encode the image. Data for the histogram may be expressed in an array of variables having a size of 2×18 bits. The device may encode codewords representing values for bins of the histogram, where the codewords may be selected from a set of codewords for a PQ10 format for HDR images. The bins of the histogram may represent non-equal width ranges.

Encoding high dynamic range video data

This disclosure describes gradient-based prediction refinement. A video coder (e.g., video encoder or video decoder) determines one or more prediction blocks for inter-predicting a current block (e.g., based on one or more motion vectors for the current block). In gradient-based prediction refinement, the video coder modifies one or more samples of the prediction block based on various factors such as displacement in a horizontal direction, the horizontal gradient, a displacement in the vertical direction, and a vertical gradient. This disclosure provides for gradient-based prediction refinement where a precision level of the displacement (e.g., at least one of the horizontal or vertical displacement) is unified (e.g., the same) for different prediction modes.

Gradient-based prediction refinement for video coding

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San Diego, CA, United States of America

Wei-Jung Chien