Design new Video Fingerprinting Algorithm

Please enable javascript in your browser.

Tanghatari, Ehsan | 2017

957 Viewed

Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 50142 (05)
University: Sharif University of Technology
Department: Electrical Engineering
Advisor(s): Sharifkhani, Mohammad
Abstract:
Digital videos is one of biggest parts of digital world. With rapid development of social networks, it is more challenging to protect media against copy right violations. Video fingerprint algorithms is one of the best tools which help detecting these violations. In this thesis, we propose two algorithms in compressed and uncompressed domains which are based on dividing videos in shots. We apply our algorithms on H264 Compression standard. In compressed domain, we use frame size in bytes in stream of video for extracting fingerprints. In Uncompressed domain, we apply multi kernel algorithm in image pyramid to extract fingerprint from videos. Results from Testing on our Dataset including 1278 videos shows about 12 percent improvement in Compressed domain and 7 percent in uncompressed Domain
Keywords:
Image Processing ; Machine Vision ; Video Processing ; Fingerprint ; Copyright Detection