东篱科研大数据发现系统（DRDS）

位置：成果数据库 > 期刊 > 期刊详情页

基于光流周期特性的视频帧率上转篡改检测

ISSN号：1003-3254
期刊名称：《计算机系统应用》
时间：0
分类：TN911.73[电子电信—通信与信息系统;电子电信—信息与通信工程]
作者机构：[1]福建师范大学数学与计算机科学学院,福州350007, [2]福建师范大学软件学院,福州350007, [3]福建省公共服务大数据挖掘与应用工程技术研究中心,福州350007
相关基金：国家自然科学基金（61070062,61502103）; 福建省高校产学合作科技重大项目（2015H6007）; 福州市科技计划（2014-G-76）; 福建省高等学校新世纪优秀人才支持计划（JAI1038）; 福建省科学厅K类基金项目（2011007）; 福建省教育厅A类基金（JA10064）

关键词：视频篡改检测, 帧率上转, 时域篡改, 光流, 快速傅里叶变换, video tampering detection, frame-rate up-conversion, temporal forgery, optical flow, fast Fourier transform

中文摘要：

视频帧率上转是视频时域篡改的一种常见篡改手段,它通过周期性地在两个视频帧中间插入中间帧的方式,实现将视频由低帧率转换到高帧率的目标.本文提出了一种基于光流周期特性的视频帧率上转篡改检测算法,首先将视频转为帧图像序列,然后采用Horn-Schunck光流法计算每帧图像每个像素点的光流矢量,并计算相邻帧图像光流的变化率.最后利用快速傅里叶变换对光流变化率数据进行频谱分析,根据最高谱线的幅值与平均幅值的比值阈值来判别视频是否经过篡改.实验表明,算法不仅能够准确识别待测视频是否经过帧率上转篡改,并且提高了视频压缩的鲁棒性能,具有一定的实际应用价值.

英文摘要：

Video frame-rate up-conversion is one of the common video tampering technologies in the time domain, which achieves the frame conversion of video from a low frame-rate to a higher frame-rate by periodically inserting intermediate frames between two frames in the original video. A detection algorithm based on the periodic properties of optical flow for video frame-rate up-conversion tampering is proposed in this paper. Firstly, the video is converted into images. Then the Hom-Schunck optical flow method is used to calculate the optical flow vector of each pixel in each frame, and the optical flow change rate of the adjacent frames is calculate. Finally, the fast Fourier transform is used for the spectral analysis of the optical flow change rate. And whether the inspected video is altered by frame-rate up-conversion would be determined by judging whether the ratio of the max spectrum amplitude and the mean spectrum amplitude is higher than a certain threshold. Experiment results show that the proposed algorithm not only can accurately identify the video tampered by frame-rate up-conversion, but also improve the robust performance of video compression well, and has certain practical application.

同期刊论文项目