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

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。

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.