Error resilient video compression using behavior models

  • Authors:

  • Jacco R. Taal;Zhibo Chen;Yun He;R. L. Lagendijk

  • Affiliations:

  • Information and Communication Theory Group, Department of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, CD Delft, The Netherlands;Imaging Technology Group, IMNC, Sony Corporation, Shinagawa-Ku, Tokyo, Japan;Video Communication Research Group, Electronic Engineering Department, Tsinghua University, Beijing, China;Information and Communication Theory Group, Department of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology, CD Delft, The Netherlands

  • Venue:
  • EURASIP Journal on Applied Signal Processing
  • Year:
  • 2004

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Abstract

Wireless and Internet video applications are inherently subjected to bit errors and packet errors, respectively. This is especially so if constraints on the end-to-end compression and transmission latencies are imposed. Therefore, it is necessary to develop methods to optimize the video compression parameters and the rate allocation of these applications that take into account residual channel bit errors. In this paper, we study the behavior of a predictive (interframe) video encoder and model the encoders behavior using only the statistics of the original input data and of the underlying channel prone to bit errors. The resulting data-driven behavior models are then used to carry out group-of-pictures partitioning and to control the rate of the video encoder in such a way that the overall quality of the decoded video with compression and channel errors is optimized.