Referenced Items are not available for this document.
After the research of the principle of SVM, it is applied to the relevance feedback of the content-based image retrieval. First do a initial retrieval separately by MEPG-7 Dominating Color, Gray-level Co-occurrence Matrix and histogram, then do a feedback using the SVM for the new round retrieval. In the experiment we comparing the SVM feedback result with the result of weight adjusting-based algorithm, prove that SVM feedback can greatly improve the recall level, get more items that be of interest to the user.
Published in:
Computer-Aided Industrial Design & Conceptual Design (CAIDCD), 2010 IEEE 11th International Conference on
(Volume:1
)
Date of Conference: 17-19 Nov. 2010
- Page(s):
- 779 - 781
- Print ISBN:
- 978-1-4244-7973-3
- INSPEC Accession Number:
- 11744867
- Conference Location :
- Yiwu
- Digital Object Identifier :
- 10.1109/CAIDCD.2010.5681233
- Product Type:
- Conference Publications
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