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학술지 Simplification on Cross-Component Linear Model in Versatile Video Coding
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저자
임성창, 김대연, 강정원
발행일
202011
출처
Electronics, v.9 no.11, pp.1-21
ISSN
2079-9292
출판사
MDPI
DOI
https://dx.doi.org/10.3390/electronics9111885
협약과제
20HH2500, [전문연구실] 6DoF 입체공간 비디오의 초고압축 부호화 기술 개발 및 표준화, 강정원
초록
To improve coding efficiency by exploiting the local inter-component redundancy between the luma and chroma components, the cross-component linear model (CCLM) is included in the versatile video coding (VVC) standard. In the CCLM mode, linear model parameters are derived from the neighboring luma and chroma samples of the current block. Furthermore, chroma samples are predicted by the reconstructed samples in the collocated luma block with the derived parameters. However, as the CCLM design in the VVC test model (VTM)-6.0 has many conditional branches in its processes to use only available neighboring samples, the CCLM implementation in parallel processing is limited. To address this implementation issue, this paper proposes including the neighboring sample generation as the first process of the CCLM, so as to simplify the succeeding CCLM processes. As unavailable neighboring samples are replaced with the adjacent available samples by the proposed CCLM, the neighboring sample availability checks can be removed. This results in simplified downsampling filter shapes for the luma sample. Therefore, the proposed CCLM can be efficiently implemented by employing parallel processing in both hardware and software implementations, owing to the removal of the neighboring sample availability checks and the simplification of the luma downsampling filters. The experimental results demonstrate that the proposed CCLM reduces the decoding runtime complexity of the CCLM mode, with negligible impact on the Bj첩ntegaard delta (BD)-rate.
키워드
Cross-component linear model (CCLM), Intra prediction, Versatile video coding (VVC), Video coding
KSP 제안 키워드
Coding efficiency, Hardware and software implementations, Intra prediction, Linear Model, Model parameter, Neighboring samples, Parallel Processing, Runtime complexity, Video coding, cross-component, luma and chroma
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