Adaptive filtering for prediction signal in video compression

Yeo Jin Yoon, Seung Jin Baek, Seung Won Jung, Young Hyun Kim, Sung-Jea Ko

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In this paper, we propose an adaptive filtering algorithm for prediction signal utilizing the Wiener filter to improve the coding efficiency of the H.264/AVC standard. The proposed algorithm first calculates the filter coefficients for the current frame by using the prediction and original images of the previous frame. Then, filtering is selectively applied to each inter-predicted macroblock (MB) according to the rate-distortion (RD) optimization. By using the proposed adaptive filtering, the error between the original and prediction signals is alleviated, which results in the reduction of the total bitrate. Experimental results show that the proposed method achieves 3.55% bitrate saving on average compared to H.264/AVC.

Original languageEnglish
Title of host publicationDigest of Technical Papers - IEEE International Conference on Consumer Electronics
Pages88-90
Number of pages3
DOIs
Publication statusPublished - 2011 Oct 26
Event1st IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2011 - Berlin, Germany
Duration: 2011 Sep 62011 Sep 8

Other

Other1st IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2011
CountryGermany
CityBerlin
Period11/9/611/9/8

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Keywords

  • Adaptive filtering
  • H.264/AVC
  • Video compression
  • Wiener filter

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Industrial and Manufacturing Engineering

Cite this

Yoon, Y. J., Baek, S. J., Jung, S. W., Kim, Y. H., & Ko, S-J. (2011). Adaptive filtering for prediction signal in video compression. In Digest of Technical Papers - IEEE International Conference on Consumer Electronics (pp. 88-90). [6031813] https://doi.org/10.1109/ICCE-Berlin.2011.6031813