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

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review

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Author(s)

Detail(s)

Original languageEnglish
Title of host publicationProceedings - IEEE International Symposium on Circuits and Systems
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2768-2771
Volume2015-July
ISBN (Print)9781479983919
Publication statusPublished - 27 Jul 2015
Externally publishedYes

Publication series

Name
Volume2015-July
ISSN (Print)0271-4310

Conference

Title2015 IEEE International Symposium on Circuits and Systems (ISCAS 2015)
LocationCultural Centre of Belém
PlacePortugal
CityLisbon
Period24 - 27 May 2015

Abstract

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.

Citation Format(s)

A linear dependent rate-quantization model for scalable video enhancement layer encoding. / Hou, Junhui; Wan, Shuai; Ma, Zhan; Chau, Lap-Pui.

Proceedings - IEEE International Symposium on Circuits and Systems. Vol. 2015-July Institute of Electrical and Electronics Engineers Inc., 2015. p. 2768-2771 7169260.

Research output: Chapters, Conference Papers, Creative and Literary Works (RGC: 12, 32, 41, 45)32_Refereed conference paper (with ISBN/ISSN)peer-review