Beijing Dajia Internet Information Technology Co., Ltd.

Samsung Electronics Co., Ltd.

Minzu University of China

Bing Yu

Xianglin Wang

Hong-Jheng Jhu

Xiaoyu Xiu

Yi-Wen Chen

Tsung-Chuan Ma

Wei Chen

Che-Wei Kuo

Ning Yan

Chang Kyu Choi

Han Gao

Shuiming Ye

Biao Wang

Guoxin Jin

Shufei Fan

Jaejoon Han

Chao Zhang

Nan Wang

Jingtao Xu

Chao Zhou

Jae-Joon Han

Wonjun Hwang

Hao Feng

Deheng Qian

Liang Guo

Yaozu An

Yucong Chen

Xin Tao

Yun-fei Zheng

Fulin Li

Mading Li

Hong-Jheng Zhu

Qian Cui

Shengjuan Peng

Yunshu Gao

Genxiang Chen

Yuyan Song

Xiaodong Ning

Jiajie Zhang

Yunfei Zheng

Yurong Dai

Fanbo Deng

Mingda Wu

An electronic apparatus performs a method of decoding video data. The method includes receiving, from the video signal, a picture frame that includes a first component and a second component, receiving, from the video signal, a plurality of sample offsets associated with the second component, reconstructing the samples of the first component before a first in-loop filter module, reconstructing the samples of the second component after a second in-loop filter module, determining a classifier for the second component from one or more reconstructed samples of the first component relative to each sample of the second component, selecting a sample offset from the plurality of sample offsets for the second component according to the classifier, and modifying the reconstructed samples of the second component based on the selected sample offset.

Chroma coding enhancement in cross-component sample adaptive offset

Provided is a method for video decoding including: receiving a control variable enabling adaptive switch between motion vector refinement (MVR) offset sets; receiving an indication variable enabling adaptive switch between codeword tables that binarize offset magnitudes in the MVR offset sets under the coding level; partitioning the video block into a first and a second geometric partition; selecting an MVR offset set based on the control variable; receiving syntax elements to determine a first and second MVR offsets applied to the first and second geometric partitions from the selected MVR offset set; obtaining a first and second MVs from a candidate list for the first and the second geometric partition; calculating a first and second refined MVs based on the first and second MVs and the first and second MVR offsets; and obtaining prediction samples based on the first and second refined MVs.

Methods and devices for geometric partition mode with motion vector refinement

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

An electronic apparatus performs a method of decoding video data, comprising: receiving, from the video signal, a picture frame that includes a first component and a second component in a first color space; determining a classifier for the second component in the first color space from a set of one or more samples of the first component associated with a respective sample of the second component in the first color space, wherein the set of one or more samples are in a second color space; determining a sample offset for the respective sample of the second component in the first color space according to the classifier; and modifying the value of the respective sample of the second component in the first color space based on the determined sample 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

An electronic apparatus performs a method of decoding video data that includes: if the adaptive color transform (ACT) is enabled for the residuals of a coding unit, receiving, from information in a bitstream, the adjustment values applied to the quantization parameters for de-quantization, and the coefficients for the residuals of the coding unit; reconstructing the residuals of the coding unit by applying the de-quantization and inverse transform to the received coefficients for the residuals of the coding unit; and if the residuals of the coding unit have been coded using the ACT, modifying the reconstructed residuals of the coding unit by applying an inverse ACT to convert the reconstructed residuals of the coding unit from the YCgCo color space to the original color space based on one same inverse ACT matrix that is applied to the one coding unit being coded either in a lossy or lossless coding mode.

Methods and apparatus of video coding

An electronic apparatus performs a method of decoding video data, including receiving, from bitstream, a first syntax element in a slice header of a slice that indicates whether luma mapping with chroma scaling (LMCS) is applied to a coding unit in the slice; receiving a second syntax element for the coding unit that indicates whether the coding unit has been coded using adaptive color-space transform (ACT); if the second syntax element has a non-zero value, decoding the coding unit by applying inverse ACT to convert luma and chroma residuals of the coding unit from a transformed color space to an original color space of the video data; and if the first syntax element has a non-zero value, decoding the coding unit by performing inverse luma mapping to the luma samples and inverse scaling to the chroma residuals of the coding unit after performing the inverse ACT.

Methods and apparatus of video coding in 4:4:4 chroma format

An electronic apparatus performs a method of decoding video data. The method includes: receiving, from the video signal, a picture frame that includes a first component and a second component; reconstructing samples of the first component through a first in-loop filter; reconstructing samples of the second component through a second in-loop filter; determining a classifier for the first component from one or more reconstructed samples of the second component relative to a respective reconstructed sample of the first component; selecting a first sample offset for the respective reconstructed sample of the first component according to the classifier; applying a plurality of filters in parallel with the selection of the first sample offset to obtain a plurality of parallel offsets; and clipping an output of a combination of the respective reconstructed sample of the first component, the first sample offset, and the plurality of parallel offsets from the plurality of filters.

An electronic apparatus performs a method of decoding video data. The method comprises: receiving, from bitstream, one or more syntax elements and video data corresponding to a coding unit; determining a Rice parameter according to the one or more syntax elements; decoding, from the video data, a first codeword and a second codeword for a pixel within the coding unit; converting the first codeword into a parameter of the pixel in accordance with a predefined mapping relationship that is generated using the determined Rice parameter; converting the second codeword into a sign value of the parameter; and determining a quantified pixel value of the pixel based on the parameter and the sign value.

Methods and apparatus of residual and coefficient 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.

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Beijing, China

Bing Yu