Abstract
This paper presents the concept of video fingerprinting as a tool for video identification. As such, video fingerprinting is an important tool for persistent identification as proposed in MPEG-21. Applications range from video monitoring on broadcast channels to filtering on peer- to-peer networks to meta-data restoration in large digital libraries. We present considerations and a technique for (i) extracting essential perceptual features from moving image sequences and (ii) for identifying any sufficiently long unknown video segment by efficiently matching the fingerprint of the short segment with a large database of pre-computed fingerprints.
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
M. Abdel-Mottaleb, G. Vaithilingam, and S. Krishnamachari. Signature-based image identification. In SPIE conference on Multimedia Systems and Applications II, Boston, USA, 1999.
J. Bancroft. Fingerprinting: Monitoring the use of media assets, 2000. Omnibus Systems Limited, white paper. see http://www.advanced-broadcast.com/.
E. Chavez, J. Marroquin, and G. Navarro. Fixed queries array: A fast and economical data structure for proximity searching. Multimedia Tools and Applications, 14:113–135, 2001.
S.S. Cheung and A. Zakhor. Video similarity detection with video signature clustering. In Proc. 8th International Conference on Image Processing, volume 2, pages 649–652, Thessaloniki, Greece, 2001.
J. Fridrich. Robust bit extraction from images. In Proc. IEEE ICMCS’99, volume 2, pages 536–540, Florence, Italy, 1999.
J. Haitsma, T. Kalker, and J. Oostveen. Robust audio hashing for content identification. In International Workshop on Content-Based Multimedia Indexing, Brescia, Italy, 2001. accepted.
A. Hampapur and R.M. Bolle. Feature based indexing for media tracking. In Proc. International Conference on Multimedia and Expo 2000 (ICME-2000), volume 3, pages 1709–1712, 2000.
A.J. Menezes, S.A. Vanstone, and P.C. van Oorschot. Handbook of Applied Cryptography. CRC Press, 1996.
RIAA-IFPI. Request for information on audio fingerprinting technologies, 2001. http://www.ifpi.org/site-content/press/20010615.html, http://www.riaa.com/-pdf/RIAA IFPI Fingerprinting RFI.pdf.
M. Schneider and S.F. Chang. A robust content based digital signature for image authentication. In Proceedings of the International Conference on Image Processing (ICIP) 1996, volume 3, pages 227–230, 1996.
R. Venkatesan and M.H. Jakubowski. Image hashing. In DIMACS conference on intellectual property protection, Piscataway, NJ, USA, 2000.
R. Venkatesan, S.M. Koon, M.H. Jakubowski, and P. Moulin. Robust image hashing. In Proceedings of the International Conference on Image Processing (ICIP), 2000.
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2002 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Oostveen, J., Kalker, T., Haitsma, J. (2002). Feature Extraction and a Database Strategy for Video Fingerprinting. In: Chang, SK., Chen, Z., Lee, SY. (eds) Recent Advances in Visual Information Systems. VISUAL 2002. Lecture Notes in Computer Science, vol 2314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45925-1_11
Download citation
DOI: https://doi.org/10.1007/3-540-45925-1_11
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43358-3
Online ISBN: 978-3-540-45925-5
eBook Packages: Springer Book Archive