| Paper: | IMDSP-P7.5 | ||
| Session: | Indexing and Retrieval | ||
| Time: | Wednesday, May 19, 15:30 - 17:30 | ||
| Presentation: | Poster | ||
| Topic: | Image and Multidimensional Signal Processing: Image and Video Indexing and Retrieval | ||
| Title: | AN EFFICIENT RADIAL BASIS FUNCTION NETWORK APPROACH FOR CONTENT-BASED IMAGE RETRIEVAL | ||
| Authors: | Kui Wu; Nanyang Technological University | ||
| Kim Hui Yap; Nanyang Technological University | |||
| Abstract: | In this paper, an efficient approach using radial basis function network (RBFN) with online learning capability is proposed for interactive content-based image retrieval (CBIR) systems. Based on the users’ feedbacks, an RBFN is constructed, and the underlying parameters and network structure are adjusted adaptively using a training strategy. To capture the users’ perceptual consistency in similarity, an error function is expressed in terms of accumulated training samples across all feedback sessions. Experimental results using a database of 10,000 images demonstrate the effectiveness of the proposed method. | ||
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