Abstract: In this paper we present a content-based approach for effectively searching and retrieving images. The proposed content-based image query and retrieval (CBQR) method uses two or more types of query for accessing images --- textual annotation associated with images and visual appearance, such as color, texture and positional features of objects in sample images. A user places a keyword-based query first and then retrieves desired images by visual content-based query. A prototype CBQR system was implemented and is available at http://140.113.216.66/WebImageSearch for online demo, and public evaluation. We also conducted experiments over a categorized Corel image collection and a non-categorized WWW image collection to show the performance of the proposed CBQR method.
Pao, H., & Fu, H. (2010). Content-based Search for Effective Image Retrieval. The International Conference on Electrical Engineering, 7(7th International Conference on Electrical Engineering ICEENG 2010), 1-10. doi: 10.21608/iceeng.2010.33291
MLA
Hsiao T. Pao; Hsin C. Fu. "Content-based Search for Effective Image Retrieval". The International Conference on Electrical Engineering, 7, 7th International Conference on Electrical Engineering ICEENG 2010, 2010, 1-10. doi: 10.21608/iceeng.2010.33291
HARVARD
Pao, H., Fu, H. (2010). 'Content-based Search for Effective Image Retrieval', The International Conference on Electrical Engineering, 7(7th International Conference on Electrical Engineering ICEENG 2010), pp. 1-10. doi: 10.21608/iceeng.2010.33291
VANCOUVER
Pao, H., Fu, H. Content-based Search for Effective Image Retrieval. The International Conference on Electrical Engineering, 2010; 7(7th International Conference on Electrical Engineering ICEENG 2010): 1-10. doi: 10.21608/iceeng.2010.33291
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