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.

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Conference papers
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  • HAL Id : hal-01433775, version 1


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. ⟨hal-01433775⟩



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