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