A Parallel Hybrid Video Coding Method Based on Noncausal Prediction with Multimode

  • Cui Wang
  • Yoshinori Hatori
Part of the Lecture Notes in Computer Science book series (LNCS, volume 6939)

Abstract

This paper addresses the parallel computing problem of hybrid video coding method. In particular, we proposed a new adaptive hybrid video coding method of I-Frame based on noncausal prediction which has better parallel performance than traditional causal prediction. However, there is an inherent problem of noncausal prediction: the error will be expanding when decoded. In order to solve this problem, feedback quantization has also been applied. Another character of this method is that the transform and scan order can be updated according to the input images and quantized step. The simulation results show that the proposed method is 0.4-5dB superior to H.264 High complexity profile which uses RD technology.

Keywords

Discrete Cosine Transform Discrete Wavelet Transform Block Type Image Code Block Mode 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2011

Authors and Affiliations

  • Cui Wang
    • 1
  • Yoshinori Hatori
    • 1
  1. 1.Tokyo Institute of TechnologyJapan

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