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Efficient region-based approach for blotch detection in archived video using texture information

机译:基于区域的基于纹理信息的存档视频斑点检测的有效方法

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摘要

We propose a method for blotch detection in archived videos by modeling their spatiotemporal properties. We introduce an adaptive spatiotemporal segmentation to extract candidate regions that can be classified as blotches. Then, the similarity between the preselected regions and their corresponding motion-compensated regions in the adjacent frames is assessed by means of motion trajectory estimation and textural information analysis. Perceived ground truth based on just noticeable contrast is employed for the evaluation of our approach against the state-of-the-art, and the reported results show a better performance for our approach. (C) 2017 SPIE and IS&T
机译:我们通过建模其时空特性,提出了一种用于存档视频斑点检测的方法。我们介绍了一种自适应的时空分割,以提取可以归类为斑点的候选区域。然后,借助于运动轨迹估计和纹理信息分析来评估相邻帧中的预选区域与其对应的运动补偿区域之间的相似性。基于明显对比的感知基础事实被用于评估我们针对最新技术的方法,并且报告的结果显示了针对我们方法的更好性能。 (C)2017 SPIE和IS&T

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