Alibaba Group Holding Limited

Alibaba (china) Co., Ltd.

Alibaba Innovation Private Limited

Xiaomi Inc.

Alibaba Singapore Holding Private Limited

Xinwei Li

Yan Ye

Ru-Ling Liao

Jie Chen

Jiancong Luo

Mohammed Golam Sarwer

Guilin Liu

Jie Cao

Zhongyu Yang

Wei Meng

Shuai He

Chongyuan Tang

Yamei Chen

Yuhui Feng

A method, an apparatus and non-transitory computer-readable storage medium for video data process are provided. The method includes receiving a bitstream comprising a coding unit coded in a geometric partition mode (GPM); decoding a first parameter associated with the coding unit, the first parameter indicating whether template matching being applied to the coding unit; and determining, according to the first parameter, motion information for the coding unit, wherein when the first parameter indicates the template matching is applied to the coding unit, the motion information is refined using the template matching.

Method, apparatus, and non-transitory computer-readable storage medium for motion vector refinement for geometric partition mode

A method for performing combined inter and intra prediction (CIIP) includes determining the CIIP being enabled for a target block; determining a first intra prediction mode of the target block using a template-based intra mode derivation (TIMD) method; generating an intra predictor of the target block with the first intra prediction mode; and obtaining a final predictor of the target block by weighted averaging the intra predictor of the target block and an inter predictor of the target block.

Methods and systems for performing combined inter and intra prediction

The present disclosure provides methods and systems for fusing chroma intra prediction modes. An exemplary method includes: generating a plurality of predicted chroma samples associated with a pixel, by using a plurality of chroma intra prediction modes respectively; and determining a first predicted chroma sample, based on a weighted sum of the plurality of predicted chroma samples.

Fusion of video prediction modes

The present disclosure provides a video data processing method. The method includes: receiving a bitstream; decoding a first index from the bitstream; determining a maximum number of an adaptive loop filter (ALF) for a component of a picture based on the first index; and processing pixels in the picture with the ALF.

Method for using adaptive loop filter and system thereof

A method for video data processing includes: determining a category index of a target chroma sample, wherein the category index is determined based on a first reconstructed value associated with a co-located luma sample and a second reconstructed value associated with the target chroma sample; determining an offset based on the category index; and adding the offset to a third reconstructed value associated with the target chroma sample.

Methods and systems for cross-component sample adaptive offset

A method for video processing using Cross-Component Adaptive Loop Filter (CCALF) is provided. The method includes filtering decoded video content using a CCALF, wherein the CCALF is a 24-tap 9×9 filter.

Methods and systems for cross-component adaptive loop filter

The present disclosure provides a video data processing method for cross-component sample adaptive offset (CCSAO). The method includes determining an index based on a vertical coordinate of a chroma sample within a picture; determining a luma sample based on the index; classifying the chroma sample based on a reconstructed value associated with the luma sample; determining an offset based on the classification; and adding the offset to a reconstructed value associated with the chroma sample.

Methods, apparatus, and non-transitory computer readable medium for cross-component sample adaptive offset

The present disclosure provides methods for performing simplified matrix weighted intra prediction. The method can include: determining a classification of a target block; and generating, based on the classification, a matrix-weighted intra prediction (MIP) signal, wherein determining the classification of the target block comprises: in response to the target block having a size of 4&#xd7;4, determining that the target block belongs to a first class; or in response to the target block having a size of 8&#xd7;8, 4&#xd7;N or N&#xd7;4, N being an integer between 8 and 64, determining that the target block belongs to a second class.

Matrix weighted intra prediction of video signals

The present disclosure provides a video data processing method for cross-component sample adaptive offset. The method includes receiving a bitstream; determining a category index of a target chroma sample, wherein the category index is determined based on a first reconstructed value associated with a co-located luma sample and a second reconstructed value associated with the target chroma sample; decoding an index indicating an offset corresponding to the category index from the bitstream; determining the offset based on the index; and adding the offset to a third reconstructed value associated with the target chroma sample.

The present disclosure provides a video data processing method. The method includes receiving a bitstream; decoding an index associated with a coding unit based on the bitstream, the index indicating a selection mode among at least four selection modes; determining four samples based on the index; determining two parameters based on the four samples; determining predicted samples of the coding unit based on the two parameters; and decoding the coding unit based on the predicted samples.

Systems and methods for liner model derivation

The present disclosure provides methods, apparatus and non-transitory computer readable medium for processing video data. According to certain disclosed embodiments, a method includes: determining a set of parameters from a plurality of sets of parameters wherein the set of parameters includes a scaling factor; determining a predicted sample value of a first chroma component based on the set of the parameters, a reconstructed sample value of a luma component and a reconstructed sample value of a second chroma component; and signaling an index associated with the set of parameters in a bitstream.

Methods and systems for prediction from multiple cross-components

The present disclosure provides video decoding method. An exemplary method includes: decoding a first parameter for a coding unit from a bitstream, and determining a candidate for the coding unit based on the first parameter; determining a value of a second parameter associated with the coding unit based on a value of a second parameter associated with the candidate, wherein the second parameter indicates whether a bi-directional prediction correction is enabled; and in response to the value of the second parameter associated with the coding unit indicating the bi-directional prediction correction being enabled, performing the bi-directional prediction correction on the coding unit.

Systems and methods for bi-directional gradient correction

The disclosed embodiments provide methods and systems for verifying a ticket at a client. One method comprises: sending a request for an electronic ticket verification interface to a server, the request including identification information of at least one purchased electronic ticket; receiving response information returned when the server determines by parsing and verification that electronic ticket information included in the request meets a ticket verification condition, and displaying, in a corresponding display box, an electronic ticket verification interface invoked by an electronic ticket verification interface invoking instruction included by the response information; and sending password input information collected on the verification interface to the server within a limit of password input times, and receiving ticket verification prompt information returned by the server in response to the password input information.

Growing community of inventors

San Mateo, CA, United States of America

Xinwei Li