Background simplification for ROI-oriented low bitrate video coding

Benoit Boyadjis, Cyril Bergeron, B. Pesquet-Popescu, F. Dufaux
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引用次数: 2

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 bit rate 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 bit rates whilst maintaining a high background intelligibility level.
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面向roi的低比特率视频编码的背景简化
低比特率视频压缩是一项具有挑战性的任务,特别是随着视频序列复杂性的增加。使用现代混合编码器在压缩前对视频数据进行重新整形,在低比特率和超低比特率领域提供了有趣的结果。在这项工作中,我们提出了一种新的显著性引导预处理方法,该方法结合了自适应重采样和背景纹理去除,以实现高效的面向roi的压缩。通过对HEVC进行评估,我们发现我们的解决方案在广泛的分辨率和比特率范围内提高了ROI编码,同时保持了高背景清晰度水平。
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