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Mobile visual search is one popular and promising research area for product
search and image retrieval. We present a novel color boosted local feature extraction
method based on the SIFT descriptor, which not only maintains robustness and
repeatability to certain imaging condition variation, but also retains the salient color and
local pattern of the apparel products. The experiments demonstrate the effectiveness of our
approach, and show that the proposed method outperforms those available methods on all
tested retrieval rates.