Histogram-Based Perceptual Hashing for Minimally Changing Video Sequences
Histogram-Based Perceptual Hashing for Minimally Changing Video Sequences
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DOI：
10.1109/axmedis.2006.30
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发表时间：
2006-12
期刊：
影响因子：
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通讯作者：
Kevin Hamon;M. Schmucker;Xuebing Zhou
中科院分区：
文献类型：
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作者：
Kevin Hamon;M. Schmucker;Xuebing Zhou
越来越多的多媒体应用需要高效和自动的内容识别和验证技术。在这里，应用了感知散列技术。由于视频数据的多样性，设计的算法需要考虑不同视频类别的特性。因此，存在不同的方法来提取感知散列。在本文中，我们提出了一种基于直方图的感知哈希算法，适用于变化最小的视频序列。描述了该算法，并且执行的评估显示了对于最小变化的视频内容的识别性能的改善
An increasing number of multimedia applications require techniques for efficient and automatic content identification and verification. Here, perceptual hashing technologies apply. Due to the diverseness of video data, algorithms whose design considers the properties of the different video classes are required. Therefore, different approaches exist to extract a perceptual hash. In this article, we propose a histogram-based perceptual hashing algorithm for minimally changing video sequences. The algorithm is described and the performed evaluation shows improvements of the identification performance for minimally changing video content