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| 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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