| Status | 已發表Published |
| Improving content-based image retrieval with relevance feedback | |
Pun C.-M. ; Wong C.-F.
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| 2009-12-01 | |
| Source Publication | WMSCI 2009 - The 13th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 15th International Conference on Information Systems Analysis and Synthesis, ISAS 2009 - Proc.
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| Volume | 4 |
| Pages | 156-160 |
| Abstract | In this paper, we present an effective approach for improving content-based image retrieval (CBIR) with relevance feedback. A rectangular image segmentation technique is used for feature extraction in image retrieval. Then an image object matching algorithm is proposed for image retrieval. Finally, a feature reweighting approach is used for relevance feedback, which transforms object features into global features. Experimental results show that the proposed approach is more efficient and achieves higher precision for image retrieval of a large image dataset. |
| Keyword | Image retrieval Rectangular Image segmentation Relevance Feedback |
| URL | View the original |
| Language | 英語English |
| Fulltext Access | |
| Document Type | Conference paper |
| Collection | DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE |
| Affiliation | Universidade de Macau |
| First Author Affilication | University of Macau |
| Recommended Citation GB/T 7714 | Pun C.-M.,Wong C.-F.. Improving content-based image retrieval with relevance feedback[C], 2009, 156-160. |
| APA | Pun C.-M.., & Wong C.-F. (2009). Improving content-based image retrieval with relevance feedback. WMSCI 2009 - The 13th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 15th International Conference on Information Systems Analysis and Synthesis, ISAS 2009 - Proc., 4, 156-160. |
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