Video coding method and apparatus

The geometric partitioning mode in video encoding and decoding technologies addresses inefficiencies in inter-picture prediction by partitioning blocks with unique predictors and weighting indices, resulting in improved compression efficiency and reduced bandwidth/storage requirements.

JP7882993B2Active Publication Date: 2026-06-30TENCENT AMERICA LLC
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Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Patents
Current Assignee / Owner
TENCENT AMERICA LLC
Filing Date
2025-01-09
Publication Date
2026-06-30

AI Technical Summary

Technical Problem

Existing video encoding and decoding technologies face challenges in efficiently reducing redundancy and improving coding efficiency, particularly in inter-picture prediction, which affects bandwidth and storage requirements.

Method used

Implementing a geometric partitioning mode (GPM) that partitions blocks into two partitions with their own predictors, using a mathematical formula to determine weighting indices and factors for sample reconstruction, and incorporating a right shift operation to enhance coding efficiency.

Benefits of technology

Enhances coding efficiency by reducing redundancy and improving the compression ratio, thereby minimizing bandwidth and storage needs while maintaining video quality.

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Patent Text Reader

Abstract

To provide a method and an apparatus for video encoding / decoding that improve the efficiency of inter prediction.SOLUTION: A method includes decoding prediction information for a current block of a current picture in a coded bitstream, the prediction information specifying a geometric partitioning mode (GPM) for the current block, and partitioning the current block into two partitions in the GPM mode, each of the partitions being associated with a respective predictor. The method also includes determining weighting indexes for samples of the current block on the basis of the positions of the samples, calculating weighting factors on the basis of the weighting indexes of the samples according to a formula for converting the weighting indexes to weighting factors, and reconstructing the samples on the basis of the predictors and weighting factors corresponding to the samples.SELECTED DRAWING: Figure 12
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