Recent advances in content based video copy detection
October 28, 2016 ยท The Cartographer ยท ๐ 2015 International Conference on Pervasive Computing (ICPC)
"No code URL or promise found in abstract"
"Title-pattern auto-detect: Recent advances in content based video copy detection"
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Authors
Sanket Shinde, Girija Chiddarwar
arXiv ID
1610.09087
Category
cs.CV: Computer Vision
Citations
12
Venue
2015 International Conference on Pervasive Computing (ICPC)
Last Checked
3 days ago
Abstract
With the immense number of videos being uploaded to the video sharing sites, issue of copyright infringement arises with uploading of illicit copies or transformed versions of original video. Thus safeguarding copyright of digital media has become matter of concern. To address this concern, it is obliged to have a video copy detection system which is sufficiently robust to detect these transformed videos with ability to pinpoint location of copied segments. This paper outlines recent advancement in content based video copy detection, mainly focusing on different visual features employed by video copy detection systems. Finally we evaluate performance of existing video copy detection systems.
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