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Background simplification for ROI-oriented low bitrate video coding

Benoit Boyadjis 1, 2 Cyril Bergeron Beatrice Pesquet-Popescu 1, 2 Frederic Dufaux 1, 2
1 MM - Multimédia
LTCI - Laboratoire Traitement et Communication de l'Information
2 TSI - Département Traitement du Signal et des Images
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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https://hal-imt.archives-ouvertes.fr/hal-01433775
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Submitted on : Friday, January 13, 2017 - 1:54:39 AM
Last modification on : Friday, July 31, 2020 - 11:28:05 AM

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  • HAL Id : hal-01433775, version 1

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INSTITUT-TELECOM | CNRS | PARISTECH | UNIV-PARIS-SACLAY | LTCI | IDS | MM

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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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