Beijing Dajia Internet Information Technology Co., Ltd.

Vid Scale, Inc.

Interdigital Vc Holdings, Inc.

Interdigital Madison Patent Holdings, Sas

Xiaoyu Xiu

Xianglin Wang

Yi-Wen Chen

Yuwen He

Yan Ye

Tsung-Chuan Ma

Bing Yu

Hong-Jheng Jhu

Wei Chen

Yong He

Che-Wei Kuo

Shuiming Ye

Jiancong Luo

Ning Yan

Jie Dong

Philippe Hanhart

Chia-Ming Tsai

Yan Zhang

Saurav Bandyopadhyay

George W McClellan

Eun Seok Ryu

Can Bal

Ralph Neff

Chun-Chi Chen

Han Gao

Hua Yang

Byung Kwan Yi

Fanyi Duanmu

Thorsten Laude

Eun Ryu

Miaohui Wang

Yun-fei Zheng

Jiun-Yu Kao

Maryam Azimi Hashemi

Processing video data may include capturing the video data with multiple cameras and stitching the video data together to obtain a 360-degree video. A frame-packed picture may be provided based on the captured and stitched video data. A current sample location may be identified in the frame-packed picture. Whether a neighboring sample location is located outside of a content boundary of the frame-packed picture may be determined. When the neighboring sample location is located outside of the content boundary, a padding sample location may be derived based on at least one circular characteristic of the 360-degree video content and the projection geometry. The 360-degree video content may be processed based on the padding sample location.

360-degree video coding using geometry projection

Methods for video decoding and encoding, apparatuses and non-transitory storage media are provided. In one decoding method, the decoder obtains a first geometric partition mode (GPM) part and a second GPM part for a coding unit (CU). The decoder disables template matching (TM) based GPM split modes reordering for multiple GPM split modes that are applied to the CU in response to determining that the first GPM part or the second GPM part is predicted with intra prediction. Furthermore, the decoder enables the TM based GPM split modes reordering for the multiple GPM split modes in response to determining that both the first GPM part and the second GPM part are predicted with inter prediction.

Methods and devices for geometric partitioning mode with split modes reordering

Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for PROF. A decoder obtains first reference picture and second reference picture associated with a video block that is coded by affine mode within a video signal. The decoder obtains first and second horizontal and vertical gradient values based on first prediction samples I(i,j) and second prediction samples I(i,j) associated with the first reference picture and second reference picture. The decoder obtains first and second horizontal and vertical motion refinements based on CPMVs associated with the first reference picture and second reference picture. The decoder obtains first prediction refinement ΔI(i,j) and second prediction refinement ΔI(i,j) based on the horizontal and vertical gradient values and the first and second horizontal and vertical motion refinements. The decoder obtains final prediction samples of the video block.

Methods and apparatus for prediction refinement with optical flow

Method and devices are provided for video coding. In the method, a decoder obtains a cross-component sample adaptive offset (CCSAO) quantization associated with an offset quantization control syntax and a quantization step size that are predefined or indicated by an encoder at at least one level. Furthermore, the decoder obtains a CCSAO based on the CCSAO quantization and adds the CCSAO to a reconstructed sample for prediction.

Cross-component sample adaptive offset

A method and an apparatus for image filtering in video coding using a neural network are provided. The method includes: loading, a plurality of quantization parameter (QP) map (QpMap) values at a plurality of QpMap channels into the neural network; obtaining a QP scaling factor by adjusting a plurality of input QP values related to an input frame; and adjusting, according to a QP scaling factor, the plurality of QpMap values for the neural network to learn and filter the input frame to the neural network.

Network based image filtering for video coding

An electronic apparatus performs a method of decoding video signal, including: receiving, from the video signal, a picture frame that includes a first component, and a second component; selecting an edge direction across a collocated sample of the first component or a current sample of the second component relative to the respective sample of the second component; calculating a first edge strength determining a difference between values of two samples from the group consisting of the collocated or current sample, a first neighbouring sample, and a second neighbouring sample; quantizing the first edge strength into M segments according to M−1 threshold values; determining the classifier for the respective sample of the second component based on the M segments; determining a sample offset for the respective sample of the second component according to the classifier; and modifying the respective sample of the second component based on the determined sample offset.

Coding enhancement in cross-component sample adaptive offset

Methods and devices are provided for rectifying a forward mapping coding bit length issue introduced by LMCS. In one method, a plurality of prediction samples, in a mapped domain, of luma component of a CU that is coded by a CIIP mode under LMCS framework is obtained, a plurality of residual samples, in the mapped domain, of the luma component of the CU is obtained, the plurality of prediction samples in the mapped domain is added to the plurality of residual samples in the mapped domain, resulting in a plurality of reconstructed samples, in the mapped domain, of the luma component, and the plurality of reconstructed samples of the luma component is converted from the mapped domain into an original domain based on a pre-defined plurality of inverse mapping scaling factors.

Methods and devices for prediction dependent residual scaling for video coding

Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for decoding a video signal. A method may include obtain a first reference picture and a second reference picture associated with a video block, wherein the first reference picture is before a current picture and the second reference picture is after the current picture in display order; obtain first prediction samples of the video block from the first reference picture; obtain second prediction samples of the video block from the second reference picture; obtain padded prediction samples, and obtain horizontal and vertical gradient values of the first prediction samples and the second prediction samples based on the padded prediction samples; obtain motion refinements for samples in the video block based on the horizontal and vertical gradient values; and obtain bi-prediction samples of the video block based on the motion refinements.

Methods and apparatuses for prediction refinement with optical flow

Methods and apparatuses are provided for video coding with lossless coding modes. The method includes: partitioning a video picture into a plurality of CUs comprising a lossless CU; determining a residual coding block size of the lossless CU; and in response to determining that the residual coding block size of the lossless CU is greater than a predefined maximum value, splitting the residual coding block into two or more residual blocks for residual coding.

Lossless coding modes for video coding

A method for video coding is provided. The method includes: determining a signaling of merge modes for deriving motion information of a current block, where the merge modes include: regular merge mode and extended merge modes; and deriving motion information of the current block using the regular merge mode, upon determining that the signaling of merge modes includes a positive signal of regular merge mode.

Methods and apparatuses for signaling of merge modes in video coding

Methods and apparatuses are provided for video coding. The method includes: partitioning a picture into a plurality of coding units; partitioning a coding unit of the plurality of coding units into two geometric partitions; and performing a predetermined number of motion vector comparison operations during a process of constructing a merging candidate list for either of the two geometric partitions.

Methods and apparatuses for video coding using geometric partition

A method for video decoding is provided. The method includes obtaining a plurality of sub-blocks within an affine coding unit (CU) of a video frame, where the plurality of sub-blocks include a plurality of boundary sub-blocks and a plurality of non-boundary sub-blocks. Further, the method may include applying both overlapped block motion compensation (OBMC) and affine secondary prediction (ASP) to at least one sub-block to generate a sub-block-based prediction for the affine CU or enabling the ASP for the plurality of non-boundary sub-block and disabling the OBMC for the plurality of non-boundary sub-blocks.

Overlapped block motion compensation for inter prediction

Systems and methods are described for reducing the complexity of using bi-directional optical flow (BIO) in video coding. In some embodiments, bit-width reduction steps are introduced in the BIO motion refinement process to reduce the maximum bit-width used for BIO calculations. In some embodiments, simplified interpolation filters are used to generate predicted samples in an extended region around a current coding unit. In some embodiments, different interpolation filters are used for vertical versus horizontal interpolation. In some embodiments, BIO is disabled for coding units with small heights and/or for coding units that are predicted using a sub-block level inter prediction technique, such as advanced temporal motion vector prediction (ATMVP) or affine prediction.

Complexity reduction and bit-width control for bi-directional optical flow

A device may determine whether to enable or disable bi-directional optical flow (BIO) for a current coding unit (CU) (e.g., block and/or sub-block). Prediction information for the CU may be identified and may include prediction signals associated with a first reference block and a second reference block (e.g., or a first reference sub-block and a second reference sub-block). A prediction difference may be calculated and may be used to determine the similarity between the two prediction signals. The CU may be reconstructed based on the similarity. For example, whether to reconstruct the CU with BIO enabled or BIO disabled may be based on whether the two prediction signals are similar. It may be determined to enable BIO for the CU when the two prediction signals are determined to be dissimilar. For example, the CU may be reconstructed with BIO disabled when the two prediction signals are determined to be similar.

Motion-compensation prediction based on bi-directional optical flow

A method of video coding comprises independently generating a respective intra prediction for each of a plurality of corresponding sub-partitions. Each respective intra prediction is generated using a plurality of reference samples from a current coding block. Illustratively, no reconstructed sample from a first sub-partition of the plurality of corresponding sub-partitions is used to generate a respective intra prediction for any other sub-partition of the plurality of corresponding sub-partitions, and each of the plurality of corresponding sub-partitions has a width less than or equal to 2.

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San Diego, CA, United States of America

Xiaoyu Xiu