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Related Experiment Video

Updated: Sep 18, 2025

Video Movement Analysis Using Smartphones ViMAS: A Pilot Study

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Published on: March 14, 2017

Video Coding With Cross-Component Sample Offset.

Han Gao, Xin Zhao, Tianqi Liu

IEEE Transactions on Image Processing : a Publication of the IEEE Signal Processing Society

|June 20, 2025

Summary

This summary is machine-generated.

This study introduces Cross-Component Sample Offset (CCSO), a novel filtering method for image and video compression. CCSO enhances coding efficiency and visual quality by leveraging correlations between color components, achieving significant coding gains.

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Area of Science:

Digital image and video compression
Signal processing
Information theory

Background:

Traditional compression methods exploit spatial, temporal, and subjective redundancy.
Cross-color component redundancy offers a new avenue for enhancing coding efficiency.
Color spaces like Y'CbCr show statistical correlations between luma (Y) and chroma (Cb/Cr) components.

Purpose of the Study:

To introduce a novel in-loop filtering approach, Cross-Component Sample Offset (CCSO), for improved image and video compression.
To leverage cross-color component redundancy for enhanced coding efficiency and visual quality.
To develop a multiplication-free, non-linear mapping technique for generating correction signals.

Main Methods:

CCSO utilizes co-located and neighboring luma samples to generate correction signals.
A look-up-table implements a multiplication-free, non-linear mapping process.
The method generates an offset value applied to reconstructed luma or chroma samples.

Main Results:

CCSO demonstrates improved coding efficiency and visual quality in both image and video coding.
The method achieved average coding gains of -0.81% (PSNR) and -0.69% (VMAF) in an experimental next-generation video codec.
Subjective visual quality was notably enhanced by the CCSO method.

Conclusions:

CCSO is an effective approach for exploiting cross-color component redundancy in image and video compression.
The adoption of CCSO into an experimental next-generation video codec by AOMedia validates its practical significance.
CCSO offers a promising solution for achieving higher compression ratios while maintaining or improving visual fidelity.