%0 Journal Article
%T Speed-up Multi-modal Near Duplicate Image Detection
%A Chunlei Yang
%A Jinye Peng
%A Jianping Fan
%J Open Journal of Applied Sciences
%P 16-21
%@ 2165-3925
%D 2013
%I Scientific Research Publishing
%R 10.4236/ojapps.2013.31B004
%X 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.
%K Near-Duplicate Detection
%K Coarse-To-Fine Framework
%K Multi-Modal Feature Integration
%U http://www.scirp.org/journal/PaperInformation.aspx?PaperID=26946