Abstract
Cloth image retrieval in E-Commerce is a challenging task. In this paper, we propose an effective approach to solve this problem. Our work chooses three features for retrieval: (1) description (2) category (3) color features. It can handle clothes with multiple colors, complex background, and model disturbances. To evaluate the proposed method, we collect a set of women cloth images from Amazon.com. Results reported here demonstrate the robustness and effectiveness of our retrieval method.
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Acknowledgment
This paper was partially supported by National Sci-Tech Support Plan 2015BAH10F01 and NSFC grant U1509216,61472099,61133002. The Scientific Research Foundation for the Returned Overseas Chinese Scholars of Heilongjiang Provience LC2016026.
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Li, L., Li, J. (2016). Feature Extraction for Effective Content-Based Cloth Image Retrieval in E-Commerce. In: Che, W., et al. Social Computing. ICYCSEE 2016. Communications in Computer and Information Science, vol 623. Springer, Singapore. https://doi.org/10.1007/978-981-10-2053-7_33
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DOI: https://doi.org/10.1007/978-981-10-2053-7_33
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