| French, J. C., Watson, J.V.S., Jin, X and Martin, W. N. Using Multiple Image Representations to Improve the Quality of Content-Based Image Retrieval. Technical Report CS-2003. |
....retrieval (CBIR) uses features that can be extracted from the images themselves. In previous work we have shown that using more than one representation of the images in a collection can improve the results presented to a user without changing the underlying feature extraction or search technologies[8]. In this paper we show that we can also merge the results of multiple CBIR systems to achieve even greater retrieval effectiveness again without changing the underlying CBIR technology. We also present an example of this combined approach and show that it can dramatically improve retrieval ....
....without manual descriptive or indexing labor from humans. Identifying such features and methods of extracting them are open areas of research. Using multiple image representations, we have been able to improve the results of existing image retrieval systems without developing any such new methods[8]. The central strategy in our approach is to provide a diversity of representations and search strategies to produce several intermediate results that we can merge into a more effective retrieval result. Our intial work considered a diversity of representations; the current paper extends that ....
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French, J. C., Martin, W. N., Watson, J.V.S., Jin, X. Using Multiple Image Representations to Improve the Quality of Content-Based Image Retrieval. Technical Report CS-
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French, J. C., Watson, J.V.S., Jin, X and Martin, W. N. Using Multiple Image Representations to Improve the Quality of Content-Based Image Retrieval. Technical Report CS-2003.
....retrieval (CBIR) uses features that can be extracted from the images themselves. In previous work we have shown that using more than one representation of the images in a collection can improve the results presented to a user without changing the underlying feature extraction or search technologies[4]. In this paper we show that we can also merge the results of multiple CBIR systems to achieve even greater retrieval effectiveness again without changing the underlying CBIR technology. We also present an example of this combined approach and show that it can dramatically improve retrieval ....
....without manual descriptive or indexing labor from humans. Identifying such features and methods of extracting them are open areas of research. Using multiple image representations, we have been able to improve the results of existing image retrieval systems without developing any such new methods[4]. The central strategy in our approach is to provide a diversity of representations and search strategies to produce several intermediate results that we can merge into a more effective retrieval result. Our intial work considered a diversity of representations; the current paper extends that ....
[Article contains additional citation context not shown here]
French, J.C., Watson, J.V.S., Jin, X., Martin, W.N. Using Multiple Image Representations to Improve the Quality of Content-Based Image Retrieval. Tech. Report CS-2003-10, Dept. of Computer Science, Univ. Virginia, March 2003.
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