A linear dependent rate-quantization model for scalable video enhancement layer encoding

Junhui Hou, Shuai Wan, Zhan Ma, Lap Pui Chau

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

In this paper, we propose a linear dependent rate-quantization model for video enhancement layers encoding in H.264/AVC based scalable video coding (SVC). It is noted that the proposed model is applicable for different scalable structures, such as temporal, quality, spatial and combined scalability. Leveraging the base layer information (such as bitrate and quantization parameter), proposed model can accurately predict the number of bit required for the enhancement layer encoding. Such linear model demonstrates the high accuracy for bitrate estimation at enhancement layers, with the average prediction accuracy over 94%. It has the noticeable improvement from the existing works, without requiring additional complexity increase. Meanwhile, proposed model is applied to do the rate control for enhancement layers encoding. Experimental results show that the average bitrate mismatch error can be significantly reduced compared with the existing algorithms.

源语言英语
主期刊名2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015
出版商Institute of Electrical and Electronics Engineers Inc.
2768-2771
页数4
ISBN(电子版)9781479983919
DOI
出版状态已出版 - 27 7月 2015
活动IEEE International Symposium on Circuits and Systems, ISCAS 2015 - Lisbon, 葡萄牙
期限: 24 5月 201527 5月 2015

出版系列

姓名Proceedings - IEEE International Symposium on Circuits and Systems
2015-July
ISSN(印刷版)0271-4310

会议

会议IEEE International Symposium on Circuits and Systems, ISCAS 2015
国家/地区葡萄牙
Lisbon
时期24/05/1527/05/15

指纹

探究 'A linear dependent rate-quantization model for scalable video enhancement layer encoding' 的科研主题。它们共同构成独一无二的指纹。

引用此