NDLI: A fast and effective preprocessing method for video copy detection

Content Provider	IEEE Xplore Digital Library
Author	Jun Li Shuang Hong Shuchao Ma Menghan Lu
Copyright Year	2012
Description	Author affiliation: Department of Automation, University of Science and Technology of China, Hefei, Anhui, China (Jun Li; Shuang Hong; Shuchao Ma; Menghan Lu)
Abstract	This paper proposed a fast and effective video preprocessing method to detect geometry distortion applied on original videos. If a video copy detection method is effective, it needs to be robust to the many digitization and encoding process that give rise to several distortions, including adding boards, rotation and so on. Most of the video copy detection algorithms proposed so far focus on coping with take all possible kind of distortions into consider and design a robust video fingerprint, however, design such kind video fingerprint is not a easy work. We proposed a method to be robust in detecting and adjust the geometry distortions. To this end, we get a sequence of frames, and extract the video region. Then by detecting the quadrilateral region which contains video, we transform the distorted video back to original state. The proposed method has been extensively tested and the results show the proposed scheme is fast and effective in dealing with several types of geometry distortions.
Starting Page	4033
Ending Page	4037
File Size	620641
Page Count	5
File Format	PDF
ISBN	9781467325813
ISSN	21612927
e-ISBN	9789881563811
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-07-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Chinese Assoc of Automati
Subject Keyword	Geometry Projection transformation Databases Image edge detection Video copy detection Transforms Cameras Quadrilateral detection Robustness Equations
Content Type	Text
Resource Type	Article

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