NON-CAUSAL INTERPOLATIVE PREDICTION FOR B PICTURE ENCODING(International Workshop on Advanced Image Technology 2009)

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概要

• 論文の詳細を見る

• 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 coding 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.

• 社団法人電子情報通信学会の論文
• 2009-01-05

著者

• Kubota Akira

  Tokyo Institute Of Technology Interdisciplinary Graduate School Of Science And Engineering Departmen

• Hatori Yoshinori

  Tokyo Institute Of Technology

• HARABE Tomoya

  Tokyo Institute of Technology, Interdisciplinary Graduate School of Science and Engineering, Departm

• Harabe Tomoya

  Tokyo Institute Of Technology Interdisciplinary Graduate School Of Science And Engineering Departmen

• Hatori Yoshinori

  Tokyo Institute Of Technology Interdisciplinary Graduate School Of Science And Engineering Departmen

• HATORI Yoshinori

  Tokyo Institute of Tech

関連論文

• NON-CAUSAL INTERPOLATIVE PREDICTION FOR B PICTURE ENCODING(International Workshop on Advanced Image Technology 2009)
• AN ALTERNATIVE APPROACH TO DEBLOCKING FILTERING FOR REDUCING DECODING LOAD IN H.264(INTERNATIONAL Workshop on Advanced Image Technology 2008)
• Video Error Concealment Using Fidelity Tracking
• A No Reference Metric of Video Coding Quality Based on Parametric Analysis of Video Bitstream
• FOREWORD

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