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.