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Background simplification for ROI-oriented low bitrate video coding

机译:面向ROI的低比特率视频编码的背景简化

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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.
机译:低比特率视频压缩是一项艰巨的任务,尤其是随着视频序列复杂性的提高。在使用现代混合编码器进行压缩之前,对视频数据进行重塑已在低比特率和超低比特率域中提供了有趣的结果。在这项工作中,我们提出了一种新颖的基于显着性的预处理方法,该方法将自适应重采样和背景纹理去除相结合,以实现面向ROI的高效压缩。通过HEVC评估,我们证明了我们的解决方案在各种分辨率和比特率范围内提高了ROI编码,同时保持了较高的背景清晰度水平。

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