NON-CAUSAL INTERPOLATIVE PREDICTION FOR B PICTURE ENCODING

  • Harabe, Tomoya (Tokyo Institute of Technology, Interdisciplinary Graduate School of Science and Engineering, Department of Information Processing) ;
  • Kubota, Akira (Tokyo Institute of Technology, Interdisciplinary Graduate School of Science and Engineering, Department of Information Processing) ;
  • Hatori, Yoshinoir (Tokyo Institute of Technology, Interdisciplinary Graduate School of Science and Engineering, Department of Information Processing)
  • 발행 : 2009.01.12

초록

This paper describes a non-causal interpolative prediction method for B-picture encoding. Interpolative prediction uses correlations between neighboring pixels, including non-causal pixels, for high prediction performance, in contrast to the conventional prediction, using only the causal pixels. For the interpolative prediction, the optimal quantizing scheme has been investigated for preventing conding error power from expanding in the decoding process. In this paper, we extend the optimal quantization sceme to inter-frame prediction in video coding. Unlike H.264 scheme, our method uses non-causal frames adjacent to the prediction frame.

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