Search Methods for Fast Matching of Video Fingerprints within a Large Database
|International Journal of Electronics and Communication Engineering|
|© 2014 by SSRG - IJECE Journal|
|Volume 1 Issue 3|
|Year of Publication : 2014|
|Authors : Miss. LaxmiGupta , Prof. M.B Limkar and Prof. Sanjay. M Hundiwale|
How to Cite?
Miss. LaxmiGupta , Prof. M.B Limkar and Prof. Sanjay. M Hundiwale, "Search Methods for Fast Matching of Video Fingerprints within a Large Database," SSRG International Journal of Electronics and Communication Engineering, vol. 1, no. 3, pp. 11-16, 2014. Crossref, https://doi.org/10.14445/23488549/IJECE-V1I3P103
Fingerprint identification has been a great challenge due to its complex search of database. Fingerprinting system is the ability to detect and/or reject a query video within a large database in fast & reliable fashion. This paper proposes an efficient fingerprint search algorithm for fast matching of fingerprints within a large video database. Here we evaluate the performance of proposed Inverted File based search & Cluster based search algorithm and compare with that of exhaustive search method when applied to fingerprints derived by TIRI-DCT. It can be seen that proposed Cluster based approach is faster than that the inverted file search method. We thus adopt the cluster based algorithm as the search engine for our copy detection system for secure version of proposed fingerprinting algorithm. It not only greatly speeds up the search process but also improves the retrieval accuracy.
Cluster Search, Fingerprinting, Inverted search, Retrieval accuracy.
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