Journal of Beijing University of Posts and Telecommunications

  • EI核心期刊

JOURNAL OF BEIJING UNIVERSITY OF POSTS AND TELECOM ›› 2015, Vol. 38 ›› Issue (4): 86-90.doi: 10.13190/j.jbupt.2015.04.018

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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

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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