Bit allocation for scalable video coding of multiple video programs

Yu Wang, Lap Pui Chau, Kim Hui Yap

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

Abstract

The problem of joint rate allocation for scalable video coding (SVC) of multiple video programs is addressed in this paper. Most of the existing approaches are based on non-scalable video coding platforms, where computationally expensive encoding or transcoding is demanded to adjust the bit-rate of each video program. Different from all these works, we develop a new statistical multiplexing system, where the scalable video coding technique is applied to compress the video programs. Experiments are carried out to verify the performance of the proposed scheme by comparing it with existing methods. The results demonstrate the merit of the proposed scheme and the variation of quality between different video programs is significantly reduced.

Original languageEnglish
Title of host publication2010 IEEE International Conference on Image Processing, ICIP 2010 - Proceedings
Pages1305-1308
Number of pages4
DOIs
Publication statusPublished - Sep 2010
Externally publishedYes
Event2010 17th IEEE International Conference on Image Processing, ICIP 2010 - Hong Kong, Hong Kong
Duration: 26 Sep 201029 Sep 2010

Publication series

NameProceedings - International Conference on Image Processing, ICIP
ISSN (Print)1522-4880

Conference

Conference2010 17th IEEE International Conference on Image Processing, ICIP 2010
Country/TerritoryHong Kong
CityHong Kong
Period26/09/1029/09/10

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

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