Clothing genre classification by exploiting the style elements

Authors:
Shintami C. Hidayati;Wen-Huang Cheng;Kai-Lung Hua
Affiliations:
National Taiwan University of Science and Technology, Taipei, Taiwan Roc;Academia Sinica, Taipei, Taiwan Roc;National Taiwan University of Science and Technology, Taipei, Taiwan Roc
Venue:
Proceedings of the 20th ACM international conference on Multimedia
Year:
2012

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Abstract

This paper presents a novel approach to automatically classify the upperwear genre from a full-body input image with no restrictions of model poses, image backgrounds, and image resolutions. Five style elements, that are crucial for clothing recognition, are identified based on the clothing design theory. The corresponding features of each of these style elements are also designed. We illustrate the effectiveness of our approach by showing that the proposed algorithm achieved overall precision of 92.04%, recall of 92.45%, and F score of 92.25% with 1,077 clothing images crawled from popular online stores.