Beijing Dajia Internet Information Technology Co., Ltd.

Interdigital Vc Holdings, Inc.

Interdigital Patent Holdings, Inc.

Ipla Holdings Inc.

Qualcomm Incorporated

Huawei Technologies Co., Limited

Convida Wireless, LLC

Vid Scale, Inc.

Wei Chen

Oghenekome Oteri

Xianglin Wang

Xiaoyu Xiu

Yi-Wen Chen

Bing Yu

Hong-Jheng Jhu

Che-Wei Kuo

Joseph M Murray

Tsung-Chuan Ma

Stephen E Terry

Chunxuan Ye

Pascal M Adjakple

Lakshmi R Iyer

Ning Yan

Guodong Zhang

Qing Li

Tianyi Xu

Qian Zhang

Ravi Palanki

Moon-il Lee

Yuwen He

Allan Yingming Tsai

Kyle Jung-Lin Pan

Liangping Ma

Jiancong Luo

Fengjun Xi

Weihua Gao

Gregory S Sternberg

Yuriy Reznik

Hua Yang

Yifan Li

Han Gao

Mohamed Awadin

Ashok Bhatia

Konggang Wei

Weimin Liu

Tongzeng Yang

Rahul Vanam

Anthony Mazzola

Ahmed ElSamadouny

Salman Khan

Xintian Li

Zhikai Tang

Satheesh Jayakumar

Hongyu Li

Ahmed Elsamadouny

Dharm Veer

Chukwuchebem Chinemelum Orakwue

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

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 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

Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for decoding a video block in geometry partition mode (GPM). The method includes: partitioning the video block into first and second geometric partitions; obtaining a first prediction list for the first geometric partition and obtaining a second prediction list for the second geometric partition; obtaining motion vectors (MVs) for the first and second geometric partitions by applying a GPM with explicit motion signaling (EMS) to the first and second geometric partitions based on the first and second prediction lists; and obtaining prediction samples of the first and second geometric partitions based on the MVs.

Geometric partition mode with explicit motion signaling

A method, apparatus, and a non-transitory computer-readable storage medium for decoding a video signal are provided. A decoder may receive, through a bitstream, arranged syntax elements in sequence parameter set (SPS) level. The arranged syntax elements in the SPS level are arranged so that functions of related syntax elements are grouped in versatile video coding (VVC) syntax at a coding level. The decoder may receive, through the bitstream and in response to multiple syntax elements satisfy a predefined condition, a second syntax element immediately after the multiple syntax elements. The decoder may perform, through the bitstream, a related syntax element function to video data from the bitstream in accordance with the multiple syntax elements and the second syntax element.

High-level syntax for video coding

A filter may be applied to a subset of components associated with a sample in a coding block. The output of the filter may be used to modify values for other component(s). For example, a filter may be applied to a selected (for example, dominant) component(s). The output of the filter may be used to modify a value for one of the other components (for example, non-dominant components). The output of the filter may be used, for example, after a weighting factor is applied to the filter output, to modify a value for another one of the other components. A joint refinement signal may be obtained, for example, as the filtered output signal minus the filter input signal of the selected component(s). A properly weighted version of the joint refinement signal may be applied to modify the other components.

Joint component video frame filtering

Methods, apparatuses, and non-transitory computer-readable storage media are provided for video coding. In one method, a decoder derives a first and a second reference pictures for a current coding block; the decoder derives a first and a second predictor samples based on a motion vector associated with the first reference picture using a motion compensation process from the first reference picture; the decoder determines whether the first and the second predictor samples are out-of-boundary (OOB), and in response to determining the first or the second predictor sample is OOB, the decoder replaces the first or the second predictor sample that is OOB with a first or a second alternative predictor sample; and the decoder generates the final prediction sample by averaging sample values of the first predictor sample and the second predictor sample.

Motion compensation considering out-of-boundary conditions in video coding

Implementations of the disclosure provide a video decoding apparatus and method for transform coefficient sign prediction on a video decoder side. The method may include selecting a set of candidate transform coefficients from dequantized transform coefficients. The method may include applying a template-based hypothesis generation scheme to select a hypothesis from a plurality of candidate hypotheses for the set of candidate transform coefficients. The method may include determining a combination of sign candidates associated with the selected hypothesis to be a set of predicted signs for the set of candidate transform coefficients. The method may include estimating original signs for the set of candidate transform coefficients based on the set of predicted signs and a sequence of sign signaling bits received from a video encoder. The method may include updating the dequantized transform coefficients based on the estimated original signs for the set of candidate transform coefficients.

Sign prediction for block-based video coding

Implementations of the disclosure provide video processing apparatuses and methods for inter-prediction. A video processing method for the inter-prediction performed by a video decoder includes determining a reference index for a video block in a video frame of a video from a bitstream. The video processing method also includes generating a joint list including a plurality pairs of reference pictures based on a first reference list and a second reference list for the video block. The video processing method further includes reordering the plurality pairs of reference pictures in the joint list based on bilateral matching using one or more motion vectors of the video block to generate a reordered joint list. The video processing method further includes performing the inter-prediction on the video block based on the reordered joint list and the reference index.

Bilateral matching based reference picture reordering

A method and an apparatus for image filtering in video coding using a neural network are provided. The method includes: loading a plurality of input patches associated with a current image to be coded, where the plurality of input patches include a first input patch with a first resolution, a second input patch with a second resolution, and a third input patch with a third resolution; and in response to determining that one resolution in the first resolution, the second resolution, and the third resolution is different from the other two resolutions, adjusting the first resolution, the second resolution, and the third resolution at one region of a plurality of regions before the neural network or in the neural network.

Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for video decoding. In one method, a decoder receives a Sequence Parameter Set (SPS) rice extension flag that indicates whether an extension of rice parameter derivation for binarization of abs_remainder and dec_abs_level is enabled. In a second method, the decoder may receive a Sequence Parameter Set (SPS) rice adaption enabled flag that indicates whether rice parameter derivation for binarization of abs_remainder and dec_abs_level is used.

Residual and coefficients coding for video coding

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San Diego, CA, United States of America

Wei Chen