Content-based Search for Effective Image Retrieval | ||||
The International Conference on Electrical Engineering | ||||
Article 119, Volume 7, 7th International Conference on Electrical Engineering ICEENG 2010, May 2010, Page 1-10 PDF (828.95 K) | ||||
Document Type: Original Article | ||||
DOI: 10.21608/iceeng.2010.33291 | ||||
View on SCiNiTO | ||||
Authors | ||||
Hsiao T. Pao1; Hsin C. Fu2 | ||||
1Dept. of management science, National Chiao-Tung University, Hsinchu, Taiwan, ROC. | ||||
2Dept. of computer science, National Chiao-Tung University, Hsinchu, Taiwan, ROC. | ||||
Abstract | ||||
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. | ||||
Keywords | ||||
Image query and retrieval; Text search; Content-based; Content-based query; Modelbased search | ||||
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