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Speed-up Multi-modal Near Duplicate Image Detection

DOI: 10.4236/ojapps.2013.31B004, PP. 16-21

Keywords: Near-Duplicate Detection, Coarse-To-Fine Framework, Multi-Modal Feature Integration

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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.

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