基于速度场的手持重拍摄视频检测算法
Analysis of Hand-Held Recaptured Video Detection Algorithm Exploiting Velocity Field
DOI: 10.12677/CSA.2016.612091, PDF, HTML, XML, 下载: 1,626  浏览: 4,970  国家自然科学基金支持
作者: 蒋卓彦*, 孙锬锋, 蒋兴浩：上海交通大学，上海
关键词: 被动检测；手持重拍摄；速度场；速度场变化程度；SVM；Passive Detection； Hand-Held Recapture； Velocity Field； Velocity Field Change Degree； SVM
摘要: 视频重拍摄检测是检测视频侵权的重要方法之一，可用于被动检测视频的版权。本文针对手持重拍摄视频，结合了手持拍摄视频的特点，对视频帧间进行速度场计算，根据连续两个速度场的方向判定速度场的变化程度，提取多个变化程度以得到一组速度场变化程度值，选取该组值的平均值与方差作为二维手持抖动特征，并使用支持向量机(support vector machine, SVM)进行重拍摄检测实验。对比实验证明该算法具有更高的准确率。
Abstract: Video recaptured detection is one of the important methods of detecting video infringement. It is a passive detection method and can be used for video copyright. In this paper, combining with the hand-held video characteristics and the velocity field algorithm, we calculate the velocity field between frames, according to the moving trend to judge whether velocity field changes or not. We extract a set of velocity change values and select the average and variance value as a two-dimen- sional characteristic, and finally we use support vector machine (SVM) for experiments. The experiment result shows that this algorithm has a higher accuracy.
文章引用：蒋卓彦, 孙锬锋, 蒋兴浩. 基于速度场的手持重拍摄视频检测算法[J]. 计算机科学与应用, 2016, 6(12): 761-771. http://dx.doi.org/10.12677/CSA.2016.612091

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