Beijing Dajia Internet Information Technology Co., Ltd.

Interdigital Vc Holdings, Inc.

Interdigital Patent Holdings, Inc.

Ipla Holdings Inc.

Wei Chen

Xianglin Wang

Xiaoyu Xiu

Yi-Wen Chen

Bing Yu

Hong-Jheng Jhu

Che-Wei Kuo

Pascal M Adjakple

Joseph M Murray

Lakshmi R Iyer

Guodong Zhang

Yuwen He

Allan Yingming Tsai

Qing Li

Tsung-Chuan Ma

Jiancong Luo

Tianyi Xu

Qian Zhang

Yifan Li

Hua Yang

Ning Yan

Stephen E Terry

Kyle Jung-Lin Pan

Fengjun Xi

Mohamed Awadin

Ahmed ElSamadouny

Salman Khan

Allan Y Tsai

Methods and devices for video decoding are provided. The method includes: receiving a control variable associated with the video block at a coding level, where the control variable enables adaptive switch between a plurality of motion vector refinement (MVR) offset sets, and the video block comprises first and second geometric partitions; receiving one or more syntax elements to determine a first MVR offset for the first geometric partition and a second MVR offset for the second geometric partition from a selected MVR offset set; obtaining a first motion vector (MV) and a second MV from a candidate list for the first and second geometric partitions; calculating a first refined MV and a second refined MV based on the first and second MVs and the first and second MVR offsets; and obtaining prediction samples for the video block based on the first and second refined MVs.

Methods and devices for geometric partition mode with motion vector refinement

Implementations of the disclosure provide a video processing method for performing intra prediction on a video block. The video processing method may include receiving reconstructed samples from a video frame in the bitstream including the video block. The video processing method may further include determining reference samples in neighboring video blocks of the video block according to a first slant line and a second slant line through a sample of the video block. The first slant line is along an interpolation direction and the second slant line is perpendicular to the first slant line. The video processing method may also include interpolating the sample of the video block based on the reference samples.

Planar mode improvement for intra prediction

Method for video encoding with residual and coefficients cording, computer device, and non-transitory computer-readable storage medium are provided. An encoder may receive a video input. The encoder may obtain a quantization parameter based on the video input. The encoder may derive a rice parameter based on at least one predefined threshold, a coding bit-depth, and the quantization parameter. The encoder may entropy encode a video bitstream based on the rice parameter.

Method for video encoding with residual and coefficients coding, computing device and non-transitory computer-readable storage medium

Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for encoding video. An encoder may obtain a first motion vector (MV) associated with a video block obtained from the video. The encoder may obtain a first prediction signal of the video block using the first MV. The encoder may identify a target MV by applying a gradient-based motion refinement algorithm in a recursive manner using the first prediction signal and the first MV. The encoder may obtain a second prediction signal of the video block based on the target MV.

Enhanced motion estimation for inter coding

An electronic apparatus performs a method of decoding video data. The method includes: receiving, from the video data, an Adaptation Parameter Set (APS) identifier associated with a number of previously used Cross-Component Sample Adaptive Offset (CCSAO) filter offset sets stored in APS; receiving, from the video data, a syntax in Picture Header (PH) or Slice Header (SH) that indicates the APS identifier used for a current picture or slice; decoding, for the current coding tree unit (CTU), a filter set index that indicates a particular previously used CCSAO filter offset set of the number of offset sets in the APS associated with the APS identifier; and applying the particular previously used CCSAO filter offset set to the current CTU of the video data.

Coding enhancement in cross-component sample adaptive offset

Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for video coding. The method for video coding includes: receiving, by a decoder, a Sequence Parameter Set (SPS) range extension flag that indicates whether a syntax structure, sps_range_extension, is present in Slice Head (SH) Raw Byte Sequence Payload (RBSP) syntax structures based on a value of the SPS range extension flag.

Residual and coefficients coding for video coding

Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for video coding. The method for video coding includes: receiving, by a decoder, a residual coding rice constraint flag to provide general constraint controls for at least one of other flags; and in response to determining that a value of the residual coding rice constraint flag equals to 1, determining that a value of the at least one of other flags equals to 0.

Methods, devices, apparatus, systems, architectures and interfaces to improve motion vector (MV) refinement based sub-block (SB) level motion compensated prediction are provided. A decoding method includes receiving a bitstream of encoded video data, the bitstream including at least one block of video data including a plurality of SBs; performing a MV derivation, including a decoder based MV (DMVR) process, for at least one SB in the block to generate a refined MV for each SB; performing SB based motion compensation on the at least one sub-block to generate a SB based prediction within each SB; obtaining a spatial gradient for the prediction within each SB; determining a MV offset for each pixel in each SB; obtaining an intensity change in each SB based on the spatial gradients and MV offsets via an optical flow equation; and refining the prediction within each SB based on the obtained intensity changes.

Methods and apparatus for prediction refinement for decoder side motion vector refinement with optical flow

Methods, apparatuses, and non-transitory computer-readable storage mediums are provided for video coding with a low-delay transform skip residual coding (TSRC) method. The TSRC method includes: deriving, by an encoder, a rice parameter based on coded information of a current slice of a video. The coded information may include one or more of following parameters: a quantization parameter or a coding bit-depth associated with a slice, a picture, or a sequence of the video; or a hash ratio associated with the slice, the picture, or the sequence of the video.

A method for video encoding is provided. The method includes: partitioning a frame of video data into a plurality of blocks; obtaining a current prediction of a current block of the plurality of blocks using one or more motion vectors of the current block; obtaining one or more collocated predictions of the current block using one or more motion vectors of one or more neighbor blocks of the current block in respective one or more blending areas, where each of the one or more blending areas is at least part of the current block and adjustable based at least on the partitioning; and obtaining a combined prediction of the current block by combing the current prediction with the one or more collocated predictions.

Overlapped block motion compensation for inter prediction

Embodiments of the disclosure provide systems and methods for applying neural network based sample adaptive offset (SAO) for video coding. The method may include classifying reconstructed samples of a reconstructed block into a set of categories based on neural network based in-loop filtering (NNLF). The reconstructed block includes a reconstructed version of a video block of a video frame from a video. The method may further include determining a set of offsets for the set of categories based on the classification of the reconstructed samples. The method may additionally include, responsive to the NNLF being performed on the reconstructed block, performing SAO filtering on the NNLF filtered samples based on the set of offsets. The NNLF filtered samples are generated from the reconstructed samples using the NNLF.

System and method for applying neural network based sample adaptive offset for video coding

Layer 2 structures and procedures may be used for beam management in new radio networks. In a first example, a new radio layer 2 structure may be used to facilitate beam management at the medium access control sublayer. In a second example, new radio feedback mechanisms may be signaled between peer medium access control entities and used to assist with beam management. In a third example, new radio beam management procedures may include new radio beam training, new radio beam alignment, new radio beam tracking, or new radio beam configuration. In a fourth example, new radio connection control procedure may include new radio initial access or new radio mobility management.

Beam management

Systems, methods, and instrumentalities are disclosed for sub-block/block refinement, including sub-block/block boundary refinement, such as block boundary prediction refinement with optical flow (BBPROF). A block comprising a current sub-block may be decoded based on a sample value for a first pixel that is obtained based on, for example, an MV for a current sub-block, an MV for a sub-block adjacent the current sub-block, and a sample value for a second pixel adjacent the first pixel. BBPROF may include determining spatial gradients at pixel(s)/sample location(s). An MV difference may be calculated between a current sub-block and one or more neighboring sub-blocks. An MV offset may be determined at pixel(s)/sample location(s) based on the MV difference. A sample value offset for the pixel in a current sub-block may be determined. The prediction for a reference picture list may be refined by adding the calculated sample value offset to the sub-block prediction.

Block boundary prediction refinement with optical flow

Methods and apparatuses for video coding are provided. The method includes that a decoder determines whether a disable flag is present in a picture header (PH) associated with a picture, wherein the disable flag specifies whether a coding tool is disabled in one or more slices associated with the PH. Additionally, the method includes that the decoder infers value of the disable flag according to one or more enable flags signaled in a sequence parameter set (SPS) of the picture in response to determining that the disable flag is not present in the PH, inferring, by the decoder.

Methods and apparatuses for signaling of syntax elements in video coding

The present application is at least directed to an apparatus on a network including a non-transitory memory including instructions stored thereon for beamforming training. The apparatus also includes a processor, operably coupled to the non-transitory memory, capable of executing the instructions of monitoring a first beamforming training reference signal (BT-RS) and physical broadcast channel (PBCH) of a network node to acquire symbol timing and subframe timing, where a common part of the PBCH includes a first beam ID. The processor is also configured to execute the instructions of transmitting, to the network node, a beam ID feedback with a unique training sequence generated based on the first beam ID to establish a radio resource control (RRC) connection The processor is further configured to execute the instructions of receiving, from the network node, a second BT-RS to perform beamforming training. The processor even further is configured to execute the instructions of receiving, from the network node, downlink control information (DCI) carrying one or more second beam IDs. The one or more second beam IDs are associated with one or more beams configured via RRC signaling. Resources of the second BT-RS are configured by a RRC message via the RRC connection.

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San Diego, CA, United States of America

Wei Chen