标题:
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
作者:
蒋卓彦, 孙锬锋, 蒋兴浩
关键字:
被动检测, 手持重拍摄, 速度场, 速度场变化程度, SVMPassive Detection, Hand-Held Recapture, Velocity Field, Velocity Field Change Degree, SVM
期刊名称:
《Computer Science and Application》, Vol.6 No.12, 2016-12-15
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。
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.