Fashion Analysis: Current Techniques and Future Directions

IEEE Multimedia(2014)

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摘要
Driven by the huge profit potential in the fashion industry, intelligent fashion analysis based on techniques for clothing and makeover analysis is receiving much attention in the multimedia and computer vision literature. This article surveys the state-of-the-art clothing analysis techniques (clothing modeling, recognition, and parsing) that can be applied in many real applications, such as clothing retrieval and recommendation. The authors then introduce several makeover-related research directions, such as facial attractiveness prediction, facial makeup synthesis, and hair segmentation. Lastly, they discuss promising future directions for clothing and makeover analysis.
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关键词
hairstyle,makeup,multimedia systems,clothing recognition,facial attractiveness prediction,fashion industry,production engineering computing,facial makeup synthesis,clothing parsing,computer vision literature,multimedia,parsing,recommendation,clothing recommendation,clothing retrieval,fashion analysis,retrieval,clothing analysis,makeover,clothing modeling,makeover analysis,intelligent fashion analysis,hair segmentation,clothing,computer vision,classification,shape analysis,media
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