OJAppS  Vol.3 No.1 B , March 2013
Speed-up Multi-modal Near Duplicate Image Detection
ABSTRACT
Near-duplicate image detection is a necessary operation to refine image search results for efficient user exploration. The existences of large amounts of near duplicates require fast and accurate automatic near-duplicate detection methods. We have designed a coarse-to-fine near duplicate detection framework to speed-up the process and a multi-modal integra-tion scheme for accurate detection. The duplicate pairs are detected with both global feature (partition based color his-togram) and local feature (CPAM and SIFT Bag-of-Word model). The experiment results on large scale data set proved the effectiveness of the proposed design.

Cite this paper
C. Yang, J. Peng and J. Fan, "Speed-up Multi-modal Near Duplicate Image Detection," Open Journal of Applied Sciences, Vol. 3 No. 1, 2013, pp. 16-21. doi: 10.4236/ojapps.2013.31B004.
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