Adaptive quantization parameter cascading for random-access prediction in H.265/HEVC based on dependent R-D models

Yuan Yang, Shuai Wan, Yanchao Gong, Kaifang Yang

科研成果: 书/报告/会议事项章节会议稿件同行评审

10 引用 (Scopus)

摘要

In H.265/HEVC, the random-access prediction structure helps to increase the coding efficiency and provides the temporal scalability. However, the quantization parameter cascading (QPC) strategy being used is not optimized in terms of the rate-distortion performance. This paper analyzes the rate and distortion dependency between temporal layers, and proposes a PSNR metric-based distortion model and a piecewise rate model to optimize the QPC. Experimental results demonstrate that the proposed algorithm achieves an average APSNR gain of 0.12dB with the maximum APSNR gain being 0.37dB. Meanwhile, an up to 8.7% BD-rate reduction with the average BD-rate reduction being 3.3% can be obtained.

源语言英语
主期刊名2016 IEEE International Conference on Image Processing, ICIP 2016 - Proceedings
出版商IEEE Computer Society
4235-4239
页数5
ISBN(电子版)9781467399616
DOI
出版状态已出版 - 3 8月 2016
活动23rd IEEE International Conference on Image Processing, ICIP 2016 - Phoenix, 美国
期限: 25 9月 201628 9月 2016

出版系列

姓名Proceedings - International Conference on Image Processing, ICIP
2016-August
ISSN(印刷版)1522-4880

会议

会议23rd IEEE International Conference on Image Processing, ICIP 2016
国家/地区美国
Phoenix
时期25/09/1628/09/16

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