A method and apparatus for processing video data

By adopting a simplified cross-component linear model prediction mode, the problem of high complexity in cross-component prediction in existing technologies is solved, improving video encoding and decoding efficiency and computational performance, and making it suitable for encoding and decoding high-resolution videos.

CN116347109BActive Publication Date: 2026-06-12DOUYIN VISION CO LTD +1

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
DOUYIN VISION CO LTD
Filing Date
2019-08-19
Publication Date
2026-06-12

AI Technical Summary

Technical Problem

Existing video coding and decoding technologies, including high-efficiency video coding and decoding standards and future video coding and decoding standards, have high complexity in cross-component prediction and computation, making them difficult to adapt to the needs of high-resolution video.

Method used

A simplified cross-component linear model (CCLM) prediction mode is adopted, which determines the chromaticity block samples without downsampling luminance samples, uses only neighboring luminance samples for prediction, and selectively applies different simplification methods to reduce computational complexity.

🎯Benefits of technology

It improves video encoding and decoding efficiency, reduces computational complexity, and maintains encoding and decoding quality, making it suitable for existing and future video encoding and decoding standards.

✦ Generated by Eureka AI based on patent content.

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Abstract

Devices, systems, and methods for digital video coding, including simplified cross-component prediction, are described. In representative aspects, a method for video coding includes receiving a bitstream representation of a current block of video data including at least one luma component and at least one chroma component, predicting a first set of samples of the at least one chroma component based on a second set of samples using a linear model, the second set of samples being selected by subsampling samples of the at least one luma component, and processing the bitstream representation based on the first set of samples and the second set of samples to generate the current block. In another representative aspect, the second set of samples are neighboring samples of the current block and are used for an intra-prediction mode of the at least one luma component.
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