Video Copy-Move Forgery Detection and Localization Based on Structural Similarity

Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 278)

Abstract

Copy-move forgery is one of the most common types of video forgeries. To detect such forgery, a new algorithm based on structural similarity is proposed. In this algorithm, we extend structural similarity to measure the similarity between two frames of a video. Since the value of similarity between duplicated frames is higher than that between the normal inter-frames, a temporal similarity measurement strategy between short sub-sequences is put forward to detect copy-move forgery. In addition, we can obtain an accurate forgery localization. Extensive experimental results evaluated on 15 videos captured by the digital camera and mobile camera in stationary and moving mode show that the precision of this algorithm can reach 99.7 % which is higher than a previous relevant study.

Keywords

Video forgery Copy-move detection Copy-move localization Structural similarity 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  1. 1.School of Mathematics and Computer ScienceFujian Normal UniversityFuzhouChina

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