北京邮电大学学报

  • EI核心期刊

北京邮电大学学报 ›› 2015, Vol. 38 ›› Issue (4): 86-90.doi: 10.13190/j.jbupt.2015.04.018

• 研究报告 • 上一篇    下一篇

基于MSSIM商一致性的视频插帧和删帧篡改检测

张珍珍, 侯建军, 李赵红, 郭胜   

  1. 北京交通大学 电子信息工程学院, 北京 100044
  • 收稿日期:2014-12-30 出版日期:2015-08-28 发布日期:2015-07-03
  • 通讯作者: 李赵红(1982-),女,副教授,E-mail:zhhli2@bjtu.edu.cn E-mail:zhhli2@bjtu.edu.cn
  • 作者简介:张珍珍(1986-),女,博士生,E-mail:11111053@bjtu.edu.cn.
  • 基金资助:

    中央高校基本科研业务费专项资金资助项目(W13JB00070,W15JB00280);教育部留学回国人员科研启动基金资助项目(W15C300020)

Video-Frame Insertion and Deletion Detection Based on Consistency of Quotients of MSSIM

ZHANG Zhen-zhen, HOU Jian-jun, LI Zhao-hong, GUO Sheng   

  1. Schoolof Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
  • Received:2014-12-30 Online:2015-08-28 Published:2015-07-03

摘要:

插帧和删帧是常见的视频帧间篡改方式,针对此研究问题,提出一种基于结构相似度均值(MSSIM)商的一致性检测算法.对于一段连续拍摄的视频,由于视频内容的连续性,相邻帧之间的MSSIM商具有连续现象.而对于经过插帧或删帧篡改的视频,其篡改点位置的MSSIM商会发生突变,从而破坏其一致性.为此,该算法首先计算每相邻两帧间的MSSIM值,之后对相邻MSSIM求商并以此作为特征,而后两次利用切比雪夫不等式及阈值法对提取特征进行异常点检测,从而实现对视频插帧和删帧的篡改检测及定位.实验结果表明,该算法对视频插帧和删帧篡改具有较高的检测率.

关键词: 视频取证, 插帧和删帧篡改, 结构相似度均值, 切比雪夫不等式

Abstract:

Frame insertion and deletion are common types of inter-frame forgeries in digital videos. In this article, an efficient method based on consistency of quotients of mean of structural similarity (MSSIM) was proposed. For a continuous shooting video, due to the continuity of video content, the quotient of MSSIM between consecutive frames is continuous. While for a video which has been tampered by inserting a certain number of frames from another video or deleting a certain number of frames, at the tamper point, the quotient of MSSIM becomes rather low, the continuity will be broken. According to the phenomena, MSSIM between every two adjacent frames iscalculated firstly. Then distinguishing feature is obtained by calculating the quotients between every two sequential MSSIMs. At last, insertion and deletion detection and localization can be achieved by using Tchebycheff inequality twice followed by decision-thresholding. Experiments show that the proposed method has high detection accuracy against both frame insertion and deletion.

Key words: video forensics, frame insertion and deletion forgeries, mean of structural similarity, Tchebycheff inequality

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