Constant quality constrained rate allocation for FGS-coded video

Xi Min Zhang, Anthony Vetro, Yun Q. Shi, Huifang Sun

Research output: Contribution to journalArticlepeer-review

83 Scopus citations

Abstract

This paper proposes an optimal rate-allocation scheme for fine-granular scalability (FGS) coded bitstreams that can achieve constant quality reconstruction of frames under a dynamic rate budget constraint. In doing so, we also aim to minimize the overall distortion at the same time. To achieve this, we propose a novel rate-distortion (R-D) labeling scheme to characterize the R-D relationship of the source coding process. Specifically, sets of R-D points are extracted during the encoding process and linear interpolation is used to estimate the actual R-D curve of the enhancement-layer signal. The extracted R-D information is then used by an enhancement-layer transcoder to determine the bits that should be allocated per frame. A sliding-window-based rate-allocation method is proposed to realize constant quality among frames. This scheme is first considered for a single FGS-coded source, then extended to operate on multiple sources. With the proposed scheme, the rate allocation can be performed in a single pass; hence, the complexity is quite low. Experimental results confirm the effectiveness of the proposed scheme under static and dynamic bandwidth conditions.

Original languageEnglish (US)
Pages (from-to)121-130
Number of pages10
JournalIEEE Transactions on Circuits and Systems for Video Technology
Volume13
Issue number2
DOIs
StatePublished - Feb 2003

All Science Journal Classification (ASJC) codes

  • Media Technology
  • Electrical and Electronic Engineering

Keywords

  • Constant quality
  • Fine-granular scalability
  • Rate allocation
  • Rate-distortion labeling
  • Video coding

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