Background simplification for ROI-oriented low bitrate video coding

Abstract :

Low-bitrate video compression is a challenging task, particularly with the increasing complexity of video sequences. Re-shaping video data before its compression with modern hybrid encoders has provided interesting results in the low and ultra-low bitrate domains. In this work, we propose a novel saliency guided preprocessing approach, which combines adaptive re-sampling and background texture removal, to achieve efficient ROI-oriented compression. Evaluated with HEVC, we show that our solution improves the ROI encoding over a wide range of resolutions and bitrates whilst maintaining a high background intelligibility level.

Type de document :
Communication dans un congrès
IEEE International Workshop on Multimedia Signal Processing (MMSP 2016), Sep 2016, Montreal, Canada. IEEE International Workshop on Multimedia Signal Processing (MMSP 2016), 2016
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https://hal-imt.archives-ouvertes.fr/hal-01433775
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Soumis le : vendredi 13 janvier 2017 - 01:54:39
Dernière modification le : jeudi 11 janvier 2018 - 06:23:39

Identifiants

  • HAL Id : hal-01433775, version 1

Citation

Benoit Boyadjis, Cyril Bergeron, Beatrice Pesquet-Popescu, Frederic Dufaux. Background simplification for ROI-oriented low bitrate video coding. IEEE International Workshop on Multimedia Signal Processing (MMSP 2016), Sep 2016, Montreal, Canada. IEEE International Workshop on Multimedia Signal Processing (MMSP 2016), 2016. 〈hal-01433775〉

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