Content-based image retrieval with relevance feedback (1997)
| Venue: | in MARS. In Image Processing, 1997. Proceedings., International Conference on |
| Citations: | 230 - 31 self |
BibTeX
@INPROCEEDINGS{Rui97content-basedimage,
author = {Yong Rui and Thomas S. Huang and Sharad Mehrotra},
title = {Content-based image retrieval with relevance feedback},
booktitle = {in MARS. In Image Processing, 1997. Proceedings., International Conference on},
year = {1997}
}
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Abstract
Technology advances in the areas of Image processing (IP) and Information Retrieval (IR) have evolved separately for a long time. However, successful content-based image retrieval systems require the integration of the two. There is an urgent need to develop integration mechanisms to link the image retrieval model to text retrieval model, such that the well established textretrieval techniques can be utilized. Approaches of converting image feature vectors (IP domain) to weighted-term vectors (IR domain) are proposed in this paper. Furthermore, the relevance feedback technique fromtheIRdomainisusedincontent-based image retrieval to demonstrate the e ectiveness of this conversion. Experimental results show that the image retrieval precision increases considerably by using the proposed integration approach. 1.
