基于Inception-V3网络的双阶段数字视频篡改检测算法  

A Two-stage Algorithm for Video Forgery Detection Based on Inception-V3 Network

作　　者：翁韶伟 彭一航 危博 易林 叶武剑 Weng Shao-wei;Peng Yi-hang;Wei Bo;Yi Lin;Ye Wu-jian(School of Information Engineering,Guangdong University of Technology,Guangzhou 510006,China;Guangdong Key Laboratory of Intelligent Information Processing,Shenzhen 518060,China)

机构地区：[1]广东工业大学信息工程学院,广东广州510006 [2]广东省智能信息重点实验室,广东深圳518060

出　　处：《广东工业大学学报》2019年第6期16-23,共8页Journal of Guangdong University of Technology

基　　金：国家自然科学基金资助项目(61872095,61872128,61571139,61201393);广东省智能信息处理重点实验室、深圳市媒体信息内容安全重点实验室2018年开放基金课题(ML-2018-03);广东省信息安全技术重点实验室开放课题基金资助(2017B030314131);广州市珠江科技新星专题(2014J2200085)

摘　　要：为了克服现有数字视频取证算法识别准确率低、定位能力差等缺点,提出一种具有高识别率且定位准确的基于Inception-V3网络的二级分类取证算法.在第一级分类器中提出简单的阈值判断方法来区分原始和篡改视频,第二级分类器将采用Inception-V3网络的稠密卷积核结构来自动提取篡改视频帧的高维多尺度特征.高维多尺度特征有助于提升篡改视频帧的识别率.实验结果表明,本文提出的算法不仅能准确地检测出篡改视频,还能从篡改视频中精确定位出篡改帧.In order to overcome the shortcomings(e.g. low recognition accuracy and poor localization ability) of existing video forensics techniques, a two-stage algorithm is proposed based on Inception-V3 network, whose advantage lies in the fact that it can accurately identify a forged video and locate its forged frames. After an extensive research, it is found that the average value of all the pixels in a pristine video sequence is always larger than its forged one after the video sequence is processed via several operations such as high-pass filtering and convolution. To this end, in the first stage, a simple algorithm is proposed in which a predefined threshold is employed to distinguish a forged video and a pristine video. Considering the fact that features of each frame need to be extracted manually in existing algorithms, the dense convolution kernel structure of Inception-V3 network is adopted in the second stage to automatically extract high dimensional and multi-scale features of each forged frame.Inception-V3 network can accurately locate forged frames in a forged video since dimensional and multi-scale features can more adequately express the input information. The experiments show that the proposed method performs very well both in forged video identification and forged frame localization.

关 键 词：数字视频取证 视频篡改识别 Inception-V3网络 篡改帧定位 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]