Joint rate allocation for multiprogram video coding using FGS

Yu Wang, Lap Pui Chau, Kim Hui Yap

Research output: Journal article publicationJournal articleAcademic researchpeer-review

17 Citations (Scopus)


In this paper, we address the problem of joint rate allocation for scalable video coding (SVC) of multiple video programs using the fine granularity scalability (FGS), which is not specified by any current H.264/AVC profile. Most of the existing approaches are based on non-SVC 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 FGS is applied to compress the video programs. First, we propose an efficient look-ahead approach to distribute the base layer coding bit-rate. Second, a piecewise linear model is applied to accurately estimate the rate-distortion relationship in the FGS layers. Based on this model, a novel algorithm is designed to dynamically allocate the available bandwidth to different programs for rate adaptation in order to minimize the variation of quality of different video programs. Experiments are carried out to verify the performance of the proposed scheme by comparing it with existing methods. The results demonstrate the superiority of the proposed scheme and the quality difference between different programs is greatly reduced.

Original languageEnglish
Article number5433015
Pages (from-to)829-837
Number of pages9
JournalIEEE Transactions on Circuits and Systems for Video Technology
Issue number6
Publication statusPublished - Jun 2010
Externally publishedYes


  • Joint rate allocation
  • Scalable video coding (SVC)
  • Statistical multiplexing
  • Video adaptation

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering


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