Rate allocation for FGS coded video using composite R-D analysis

Hui Cheng, Xi Min Zhang, Yun-Qing Shi, A. Vetro, Huifang Sun

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations

Abstract

In this paper, we propose a constant quality rate allocation algorithm for MPEG-4 FGS (fine granularity scalability) coded video sequences. The rate allocation problem is formulated as a constrained minimization of quality fluctuation. The minimization is solved using a novel composite rate distortion analysis. For a set of video frames, a composite rate distortion curve is first computed and then used for computing the optimal rate allocation. The proposed algorithm is very efficient because it is neither iterative nor recursive. In addition, after the composite rate distortion curve is computed, it can be used to calculate optimal rate allocation for any rate budget. Therefore, it is suitable for FGS coded bitstreams, which need to be transmitted and decoded many times at many different rates. Moreover, the composite rate distortion curve can be updated efficiently over sliding windows. This further reduces the computational complexity. Experiments using both synthetic and real FGS coded videos have shown the effectiveness and the efficiency of the proposed algorithm.

Original languageEnglish (US)
Title of host publicationProceedings - 2003 International Conference on Multimedia and Expo, ICME
PublisherIEEE Computer Society
PagesII41-II44
ISBN (Electronic)0780379659
DOIs
StatePublished - Jan 1 2003
Event2003 International Conference on Multimedia and Expo, ICME 2003 - Baltimore, United States
Duration: Jul 6 2003Jul 9 2003

Publication series

NameProceedings - IEEE International Conference on Multimedia and Expo
Volume2
ISSN (Print)1945-7871
ISSN (Electronic)1945-788X

Other

Other2003 International Conference on Multimedia and Expo, ICME 2003
CountryUnited States
CityBaltimore
Period7/6/037/9/03

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Computer Science Applications

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