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- Type of Document: M.Sc. Thesis
- Language: Farsi
- Document No: 47299 (05)
- University: Sharif University of Technology
- Department: Electrical Engineering
- Advisor(s): Ghaemmaghami, Shahrokh
- Abstract:
- This project aims at forgery detection in digital videos. Most of existing methods are based on similar methods for image forgery detection. Therefore, they do not have sufficient accuracy in case of video forgery detection. In this project, we focus on local copy/move attacks in digital videos and propose 3 solutions for 3 problems in this field: 1) detection of copy/move along time axis (temporal copy/move), 2) detection of copy/move along x and y axes (spatial copy/move) and 3) detection of original and fake part in case of finding a duplication. For each of these 3 problems a feature extraction algorithm and a forgery detection algorithm are proposed. Feature extraction algorithms are mainly based on video coding standards (mainly MPEG) and artifacts caused by video compression. To evaluate our solutions, a dataset of original and forged videos is created. The lack of such a suitable, comprehensice and public dataset make this effort an important step. The algorithms are applied to these datasets and the results show that the proposed algorithms are superior to former approaches by 10% to 13% of advantage. Moreover, in cases were our solution have no major rival (3rd method in previous paragraph), it is shown that our method works well in more than 98% of cases
- Keywords:
- Digital Video Broadcasting (DVB) ; Forgery Detection ; Data Security ; Tamper Detection ; Digital Video Forensics
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