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Thomee, B., Huiskes, M., Bakker, E., and Lew, M. “Large scale image copy detection evaluation,” In Proceedings of the 1st ACM international conference on Multimedia information retrieval (2008), ACM, pp. 59–66.

has been cited by the following article:

• TITLE: Speed-up Multi-modal Near Duplicate Image Detection

  AUTHORS: Chunlei Yang, Jinye Peng, Jianping Fan

  KEYWORDS: Near-Duplicate Detection; Coarse-To-Fine Framework; Multi-Modal Feature Integration

  JOURNAL NAME: Open Journal of Applied Sciences, Vol.3 No.1B, January 22, 2013

  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.