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

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

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

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.

Original languageEnglish
Title of host publication2015 IEEE International Symposium on Circuits and Systems, ISCAS 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2768-2771
Number of pages4
ISBN (Electronic)9781479983919
DOIs
Publication statusPublished - 27 Jul 2015
Externally publishedYes
EventIEEE International Symposium on Circuits and Systems, ISCAS 2015 - Lisbon, Portugal
Duration: 24 May 201527 May 2015

Publication series

NameProceedings - IEEE International Symposium on Circuits and Systems
Volume2015-July
ISSN (Print)0271-4310

Conference

ConferenceIEEE International Symposium on Circuits and Systems, ISCAS 2015
Country/TerritoryPortugal
CityLisbon
Period24/05/1527/05/15

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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