DocumentCode :
2896293
Title :
On Visual Clothing Search
Author :
Tsay, Jyh-Jong ; Lin, Chi-Hsiang ; Tseng, Chin-Hsien ; Chang, Kai-Chieh
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Chung Cheng Univ., Chiayi, Taiwan
fYear :
2011
fDate :
11-13 Nov. 2011
Firstpage :
206
Lastpage :
211
Abstract :
Clothes products contain many characteristics which are difficult to describe in keywords, such as texture, shape, or the relationship between object and space. Based on this issue, we develop an image-based visual clothing retrieval system, which extracts and uses the features of clothing images to find objects that are difficult to describe by text, or without text annotations. We integrate techniques from image processing and information retrieval, and develop our retrieval system which provides region-of-interest visual search. Experiment on an image database with about 1891 clothing images shows that our approach is effective and efficient.
Keywords :
clothing; feature extraction; image retrieval; clothes products; clothing image feature extraction; image database; image processing; image-based visual clothing retrieval system; information retrieval; region-of-interest visual search; visual clothing search; Clothing; Databases; Feature extraction; Search problems; Vectors; Visualization; Vocabulary; Clothing Retrieval; Content-Based Image Retrieval; Information Retrieval; SIFT; Visual Search;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Technologies and Applications of Artificial Intelligence (TAAI), 2011 International Conference on
Conference_Location :
Chung-Li
Print_ISBN :
978-1-4577-2174-8
Type :
conf
DOI :
10.1109/TAAI.2011.43
Filename :
6120745
Link To Document :
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