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Sub-sampled cross-component prediction for chroma component coding

  • Junru Li
  • , Meng Wang
  • , Li Zhang
  • , Kai Zhang
  • , Shiqi Wang
  • , Shanshe Wang
  • , Siwei Ma
  • , Wen Gao

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Cross-component prediction, which takes advantage of inter-channel correlations, predicts the chroma block with the luma reconstructed block according to associated linear model. Instead of involving all available reference samples in building the linear model, in this paper, we propose a sub-sampled approach that utilizes at most four neighboring chroma samples and their corresponding down-sampled luma samples, leading to significantly reduced operations in the derivation of model parameters at both encoder and decoder. The proposed scheme is hardware friendly in terms of the overheads of memory access and clock cycles, and greatly benefits the practical implementations of the emerging video coding standard in real applications. Extensive experiments reveal that the proposed sub-sampled method provides simple operations and robust coding performance, leading to the adoption by Versatile Video Coding (VVC) Standard and the third generation Audio Video Coding Standard (AVS3).

源语言英语
主期刊名Proceedings - DCC 2020
主期刊副标题Data Compression Conference
编辑Ali Bilgin, Michael W. Marcellin, Joan Serra-Sagrista, James A. Storer
出版商Institute of Electrical and Electronics Engineers Inc.
203-212
页数10
ISBN(电子版)9781728164571
DOI
出版状态已出版 - 3月 2020
已对外发布
活动2020 Data Compression Conference, DCC 2020 - Snowbird, 美国
期限: 24 3月 202027 3月 2020

出版系列

姓名Data Compression Conference Proceedings
2020-March
ISSN(印刷版)1068-0314

会议

会议2020 Data Compression Conference, DCC 2020
国家/地区美国
Snowbird
时期24/03/2027/03/20

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