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Bitspotting: Detecting Optimal Adaptive Steganography Read chapter Read first chapter

2014 | OriginalPaper | Chapter

Identifying Video Forgery Process Using Optical Flow

Authors : Wan Wang, Xinghao Jiang, Shilin Wang, Meng Wan, Tanfeng Sun

Published in: Digital-Forensics and Watermarking

Publisher: Springer Berlin Heidelberg

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Abstract

With the extensive equipment of surveillance systems, the assessment of the integrity of surveillance videos is of vital importance. In this paper, an algorithm based on optical flow and anomaly detection is proposed to authenticate digital videos and further identify the inter-frame forgery process (i.e. frame deletion, insertion, and duplication). This method relies on the fact that forgery operation will introduce discontinuity points to the optical flow variation sequence and these points show different characteristics depending on the type of forgery. The anomaly detection scheme is adopted to distinguish the discontinuity points. Experiments were performed on several real-world surveillance videos delicately forged by volunteers. The results show that the proposed algorithm is effective to identify forgery process with localization, and is robust to some degree of MPEG compression.

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previous chapter Effective Video Copy Detection Using Statistics of Quantized Zernike Moments
next chapter A Huffman Table Index Based Approach to Detect Double MP3 Compression
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Metadata
Title
Identifying Video Forgery Process Using Optical Flow
Authors
Wan Wang
Xinghao Jiang
Shilin Wang
Meng Wan
Tanfeng Sun
Copyright Year
2014
Publisher
Springer Berlin Heidelberg
Book
Digital-Forensics and Watermarking

Print ISBN: 978-3-662-43885-5

Electronic ISBN: 978-3-662-43886-2

Copyright Year: 2014

DOI
https://doi.org/10.1007/978-3-662-43886-2_18

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