一种新的视频错误隐藏集成时空框架

Ee Sin Ng, J. Y. Tham, S. Rahardja
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引用次数: 1

摘要

由于缺乏合适的参考帧,时间错误隐藏(TEC)算法在存在过场动画、摄像机平移或视频中物体遮挡的情况下不能产生良好的结果。在这种情况下,空间EC (SEC)可能表现更好。因此,EC算法应该自适应地在TEC或SEC之间做出选择。在本文中,我们提出了一个集成的时空EC框架,该框架扩展了我们之前在TEC和SEC方面的工作。该算法自适应地决定最佳EC模式,并比基于编码模式的EC算法产生高达4.59 dB的平均PSNR改进。最重要的是,我们的算法产生了更好的感知质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Integrated Spatio-Temporal Framework for Video Error Concealment
Temporal error concealment (TEC) algorithms do not produce good results in the presence of cut scenes, camera panning or object occlusion in videos due to the lack of a suitable reference frame. Under such circumstances, spatial EC (SEC) may perform better. Thus, EC algorithms should decide adaptively between TEC or SEC. In this paper, we propose an integrated spatio-temporal EC framework which extends our previous work in TEC and SEC. The proposed algorithm decides adaptively on the best EC mode and produces average PSNR improvements of up to 4.59 dB over a coding-mode based EC algorithm. Most importantly, our algorithm produces results of much better perceptual quality.
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