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 publicationProceedings of the 1st IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2011
    Pages88-90
    Number of pages3
    DOIs
    Publication statusPublished - 2011
    Event1st IEEE International Conference on Consumer Electronics - Berlin, ICCE-Berlin 2011 - Berlin, Germany
    Duration: 2011 Sept 62011 Sept 8

    Publication series

    NameDigest of Technical Papers - IEEE International Conference on Consumer Electronics
    ISSN (Print)0747-668X

    Other

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

    Keywords

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

    ASJC Scopus subject areas

    • Industrial and Manufacturing Engineering
    • Electrical and Electronic Engineering

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