摄像机记录强大的视频指纹

A. Garboan, M. Mitrea, F. Prêteux
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引用次数: 4

摘要

本论文为现场摄像机(剧院、电视/广告屏幕)视频序列的自动跟踪铺平了道路。在这方面,提出了一种基于DWT系数亲密统计模型和原始帧与录制帧动态再同步的视频指纹识别方法。在与法国电影权威机构的合作评估中,该方法的漏检概率和误报概率分别为0.00009和0.0036,而其精度和召回率为0.72。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Camcorder recording robust video fingerprinting
The present paper paves the way toward the automatic tracking of the live camcorder (in theater, on a TV/advertising screen) video sequences. In this respect, a video fingerprinting method based on the intimate statistical model of the DWT coefficients and on a dynamic resynchronization between original and camcorded frames is advanced. Evaluated in partnership with the French cinematography authority, this method resulted in probabilities of missed detection and false alarm of 0.00009 and 0.0036, respectively while its precision and recall ratios are of 0.72.
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