Abstract
The research aims to develop a novel ontology structure for incorporating semantics into an intelligent clothes search system. It helps users to choose appropriate attire fit to the desired impression for attending a specific occasion using all of what is already in their closets. The ontology structure proposed in the paper takes a single piece of garment as the most specific instance. Hence, pictures of user’s garment items are firstly fed. An internal image processing module is then invoked to extract attributes from each piece of garment through a series of image processing techniques, such as color distribution. Finally, the derived information is attached to the ontology. In runtime, the system follows the requirements, such as mood keyword, occasion type, and weather status, to search for matched outfits with the help of semantic searching of the ontology.
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Cheng, CI., Liu, D.SM., Chen, LT. (2010). Incorporating Semantics into an Intelligent Clothes Search System Using Ontology. In: Zavoral, F., Yaghob, J., Pichappan, P., El-Qawasmeh, E. (eds) Networked Digital Technologies. NDT 2010. Communications in Computer and Information Science, vol 87. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14292-5_47
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DOI: https://doi.org/10.1007/978-3-642-14292-5_47
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