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IEICE TRANSACTIONS on Information

A Foreground-Background-Based CTU λ Decision Algorithm for HEVC Rate Control of Surveillance Videos

Zhenglong YANG, Guozhong WANG, GuoWei TENG

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Summary :

Although HEVC rate control can achieve high coding efficiency, it still does not fully utilize the special characteristics of surveillance videos, which typically have a moving foreground and relatively static background. For surveillance videos, it is usually necessary to provide a better coding quality of the moving foreground. In this paper, a foreground-background CTU λ separate decision scheme is proposed. First, low-complexity pixel-based segmentation is presented to obtain the foreground and the background. Second, the rate distortion (RD) characteristics of the foreground and the background are explored. With the rate distortion optimization (RDO) process, the average CTU λ value of the foreground or the background should be equal to the frame λ. Then, a separate optimal CTU λ decision is proposed with a separate λ clipping method. Finally, a separate updating process is used to obtain reasonable parameters for the foreground and the background. The experimental results show that the quality of the foreground is improved by 0.30 dB in the random access configuration and 0.45 dB in the low delay configuration without degradation of either the rate control accuracy or whole frame quality.

Publication
IEICE TRANSACTIONS on Information Vol.E102-D No.3 pp.670-674
Publication Date
2019/03/01
Publicized
2018/12/18
Online ISSN
1745-1361
DOI
10.1587/transinf.2018EDL8159
Type of Manuscript
LETTER
Category
Image Processing and Video Processing

Authors

Zhenglong YANG
  Shanghai University of Engineering Science
Guozhong WANG
  Shanghai University of Engineering Science
GuoWei TENG
  Shanghai University

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