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Video copy detection using inclined video tomography and bag-of-visual-words

Hyun-seok Min, Se Min Kim, Wesley De Neve UGent and Yong Man Ro (2012) IEEE International Conference on Multimedia and Expo, Proceedings. p.562-567
abstract
Techniques for video fingerprinting are helpful in managing vast libraries of video clips. Recent advances have shown that video tomography and Bag-of-Visual-Words (BoVW) can be successfully used for the purpose of video fingerprinting. In this paper, we introduce a novel video signature (i.e., a novel video fingerprint) that takes advantage of both video tomography and BoVW. Specifically, the proposed video signature is created by first extracting inclined tomography images from the video content, and by subsequently applying the BoVW approach to the inclined tomography images obtained. The key to our approach is that we make the angle of inclination of the tomography images dependent on the amount of motion in the video content. That way, the proposed video signature is able to capture both spatial and temporal information. Experimental results obtained for the publicly available TREVID-2009 video set indicate that video copy detection by means of the proposed video signature is robust against spatial and temporal transformations.
Please use this url to cite or link to this publication:
author
organization
year
type
conference
publication status
published
subject
keyword
video identification, video tomography, video copy detection, Bag-of-visual-words
in
IEEE International Conference on Multimedia and Expo, Proceedings
Proc. (IEEE Int. Conf. Multimed. Expo)
pages
562 - 567
publisher
IEEE
place of publication
Piscataway, NJ, USA
conference name
IEEE International Conference on Multimedia and Expo (ICME - 2012)
conference location
Melbourne, Australia
conference start
2012-07-09
conference end
2012-07-13
ISSN
1945-7871
ISBN
9780769547299
DOI
10.1109/ICME.2012.58
language
English
UGent publication?
yes
classification
C1
copyright statement
I have transferred the copyright for this publication to the publisher
id
2996826
handle
http://hdl.handle.net/1854/LU-2996826
alternative location
http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6298461
date created
2012-09-21 11:19:07
date last changed
2012-09-26 11:01:58
@inproceedings{2996826,
  abstract     = {Techniques for video fingerprinting are helpful in managing vast libraries of video clips. Recent advances have shown that video tomography and Bag-of-Visual-Words (BoVW) can be successfully used for the purpose of video fingerprinting. In this paper, we introduce a novel video signature (i.e., a novel video fingerprint) that takes advantage of both video tomography and BoVW. Specifically, the proposed video signature is created by first extracting inclined tomography images from the video content, and by subsequently applying the BoVW approach to the inclined tomography images obtained. The key to our approach is that we make the angle of inclination of the tomography images dependent on the amount of motion in the video content. That way, the proposed video signature is able to capture both spatial and temporal information. Experimental results obtained for the publicly available TREVID-2009 video set indicate that video copy detection by means of the proposed video signature is robust against spatial and temporal transformations.},
  author       = {Min, Hyun-seok and Kim, Se Min and De Neve, Wesley and Ro, Yong Man},
  booktitle    = {IEEE International Conference on Multimedia and Expo, Proceedings},
  isbn         = {9780769547299},
  issn         = {1945-7871},
  keyword      = {video identification,video tomography,video copy detection,Bag-of-visual-words},
  language     = {eng},
  location     = {Melbourne, Australia},
  pages        = {562--567},
  publisher    = {IEEE},
  title        = {Video copy detection using inclined video tomography and bag-of-visual-words},
  url          = {http://dx.doi.org/10.1109/ICME.2012.58},
  year         = {2012},
}

Chicago
Min, Hyun-seok, Se Min Kim, Wesley De Neve, and Yong Man Ro. 2012. “Video Copy Detection Using Inclined Video Tomography and Bag-of-visual-words.” In IEEE International Conference on Multimedia and Expo, Proceedings, 562–567. Piscataway, NJ, USA: IEEE.
APA
Min, H., Kim, S. M., De Neve, W., & Ro, Y. M. (2012). Video copy detection using inclined video tomography and bag-of-visual-words. IEEE International Conference on Multimedia and Expo, Proceedings (pp. 562–567). Presented at the IEEE International Conference on Multimedia and Expo (ICME - 2012), Piscataway, NJ, USA: IEEE.
Vancouver
1.
Min H, Kim SM, De Neve W, Ro YM. Video copy detection using inclined video tomography and bag-of-visual-words. IEEE International Conference on Multimedia and Expo, Proceedings. Piscataway, NJ, USA: IEEE; 2012. p. 562–7.
MLA
Min, Hyun-seok, Se Min Kim, Wesley De Neve, et al. “Video Copy Detection Using Inclined Video Tomography and Bag-of-visual-words.” IEEE International Conference on Multimedia and Expo, Proceedings. Piscataway, NJ, USA: IEEE, 2012. 562–567. Print.