Efficient cross-component prediction for H.266/VVC based on lightweight fully connected networks

Efficient cross-component prediction for H.266/VVC based on lightweight fully connected networks

Cross-component linear model (CCLM) prediction in H.266/versatile video coding (VVC) can improve the compression efficiency.There exists high correlation between luma and chroma components while the correlation is difficult to be modeled explicitly.An algorithm for neural network based cross-compone...

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Bibliographic Details
Main Authors: Junyan HUO, Danni WANG, Yanzhuo MA, Shuai WAN, Fuzheng YANG
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2022-02-01
Series:Tongxin xuebao
Subjects:
H.266/VVC
chroma intra prediction
cross component prediction
neural network
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022031/
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