A novel rate-distortion model for leaky prediction based FGS video coding

  • Authors:

  • Jianhua Wu;Jianfei Cai

  • Affiliations:

  • Center for Multimedia and Network Technology, School of Computer Engineering, Nanyang Technological University, Singapore;Center for Multimedia and Network Technology, School of Computer Engineering, Nanyang Technological University, Singapore

  • Venue:
  • PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part III
  • Year:
  • 2004

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Abstract

In this paper, we propose a novel rate-distortion (R-D) model for leaky prediction based FGS (L-FGS) video coding. The proposed R-D model considers not only the distortion introduced in the current frame but also the propagated distortion due to leaky prediction. The entire system consists of both offline and online processes. During the offline stage, we perform the L-FGS encoding and collect the necessary feature information for the later online R-D estimation. At the online stage, given the transmission bandwidth at that time, we can quickly estimate the R-D curves of a sequence of consecutive video frames based on the proposed R-D model. An excellent property of our proposed R-D model is that even when applying the model for a long video sequence without any update of the actual distortion values, the estimation error is still very small and the error is not accumulated. Experimental results show that the estimated distortion matches the actual distortion very well under different channel conditions.