DocumentCode :
2457836
Title :
Recent advances in content based video copy detection
Author :
Shinde, S.R. ; Chiddarwar, G.G.
Author_Institution :
Dept. of Comput. Eng., Sinhgad Coll. of Eng., Pune, India
fYear :
2015
fDate :
8-10 Jan. 2015
Firstpage :
1
Lastpage :
6
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.
Keywords :
copyright; feature extraction; object detection; video watermarking; content based video copy detection; copyright infringement; digital media copyright; transformed video detection; video sharing sites; video watermarking algorithm; visual features; Accuracy; Feature extraction; Image color analysis; Robustness; Video sequences; Visualization; Watermarking; Copyright protection; MUSCLE-VCD; TRECVID; content based video copy detection; feature descriptor; feature extraction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pervasive Computing (ICPC), 2015 International Conference on
Conference_Location :
Pune
Type :
conf
DOI :
10.1109/PERVASIVE.2015.7087093
Filename :
7087093
Link To Document :
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