Clothing Style Recognition using Fashion Attribute Detection
In this paper, a new framework is proposed for clothing style recognition in natural scenes. Clothing region is first detected through the fusion of super-pixel segmentation, saliency detection and Gaussian Mixture Model (GMM). Next, a group of fashion attribute detectors are trained to get the like...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
European Alliance for Innovation (EAI)
2015-08-01
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| Series: | EAI Endorsed Transactions on Ambient Systems |
| Subjects: | |
| Online Access: | http://eudl.eu/doi/10.4108/icst.mobimedia.2015.259089 |