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Erschienen in:
2013 | OriginalPaper | Buchkapitel
Clothing Extraction by Coarse Region Localization and Fine Foreground/Background Estimation
verfasst von : Xiao Wu, Bo Zhao, Ling-Ling Liang, Qiang Peng
Erschienen in: Advances in Multimedia Modeling
Verlag: Springer Berlin Heidelberg
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Online shopping is becoming more and more popular for billions of web users because of its convenience and efficiency. Customers can use content-based product image search engine to find their desired products. However, a frustrating fact is that the search results are significantly affected by the presence of natural backgrounds and fashion models. To minimize the influence of these noises, in this paper, an automatic clothing extraction algorithm is proposed, which consists of two phases: coarse clothing region localization with human proportion, and fine foreground/background modeling. Experiments on two datasets crawled from e-commerce websites demonstrate that the proposed approach achieves good performance, and has competitive performance with the interactive solution.