A rate-distortion analysis on motion prediction efficiency and mode decision for scalable wavelet video coding

  • Authors:

  • Chia-Yang Tsai;Hsueh-Ming Hang

  • Affiliations:

  • Department of Electronics Engineering, National Chiao Tung University, Hsinchu, Taiwan;Department of Electronics Engineering, National Chiao Tung University, Hsinchu, Taiwan

  • Venue:
  • Journal of Visual Communication and Image Representation
  • Year:
  • 2010

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Abstract

A rate-distortion model for describing the motion prediction efficiency in interframe wavelet video coding is proposed in this paper. Different from the non-scalable video coding, the scalable wavelet video coding needs to operate under multiple bitrate conditions and it has an open-loop structure. The conventional Lagrangian multiplier, which is widely used to solve the rate-distortion optimization problems in video coding, does not fit well into the scalable wavelet structure. In order to find the rate-distortion trade-off due to different bits allocated to motion and textual information, we suggest a motion information gain (MIG) metric to measure the motion prediction efficiency. Based on this metric, a new cost function for mode decision is proposed. Compared with the conventional Lagrangian method, our experiments show that the proposed method is less extraction-bitrate dependent and generally improves both the PSNR performance and the visual quality for the scalability cases.