Efficient Motion Estimation Scheme for H.264 Based on BP Neural Network

  • Authors:

  • Wei Zhou;Haoshan Shi;Zhemin Duan;Xin Zhou

  • Affiliations:

  • Department of Electronic Engineering, Northwestern Polytechnical University, XI'AN,;Department of Electronic Engineering, Northwestern Polytechnical University, XI'AN,;Department of Electronic Engineering, Northwestern Polytechnical University, XI'AN,;Department of Computer Science & Engineering, Northwestern Polytechnical University, XI'AN,

  • Venue:
  • ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
  • Year:
  • 2007

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Abstract

In the new H.264 video coding standard, motion estimation takes up a significant encoding time especially when using the straightforward full search algorithm (FS). We present an efficient scheme based on BP neural network algorithm which we believe can overcome to a significant degree this shortcoming. The mean squared error (MSE) between the current block and the same position in the reference frame is an often used matching criteria in block matching process. The scheme presented is very well suited to neural network training where the performance index is the mean squared error. The experimental results in Table 1 and Table 2 in the full paper compare our method with the full search algorithm. These comparisons show preliminarily but clearly that our method dose overcome to a significant degree the shortcoming of FS mentioned at the beginning of this abstract with neglectable coding efficiency loss.Keywords:Motion Estimation; mean squared error; BP neural network.