Efficient Fine Granularity Scalability using adaptive leaky factor

Yunlong Gao, Lap Pui Chau

Research output: Journal article publicationJournal articleAcademic researchpeer-review

2 Citations (Scopus)


Fine Granularity Scalability (FGS) video coding has been adopted by the MPEG-4 standard for video streaming applications. In this paper, we propose a novel FGS coding scheme, which applied adaptive leaky factors for the enhancement layer prediction to further improve the coding efficiency of FGS. A flexible method that can dynamically determine the leaky factors according to the network conditions is also presented. With the proposed method, a better trade-off between the coding efficiency and drifting reduction can be achieved, and the coding performance is further improved compared with using a fixed leaky factor. Experimental results show that the proposed method can further improve the coding efficiency over a wide range of bitrate and packet loss ratio, and still keep the original characteristics, such as fine granularity, and bandwidth adaptation.

Original languageEnglish
Pages (from-to)512-519
Number of pages8
JournalIEEE Transactions on Broadcasting
Issue number4
Publication statusPublished - Dec 2005
Externally publishedYes


  • Bit-plane coding
  • Fine granularity scalability (FGS)
  • Video streaming

ASJC Scopus subject areas

  • Media Technology
  • Electrical and Electronic Engineering


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