Content-based image retrieval
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- Content-based image retrieval
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Localized content based image retrieval
MIR '05: Proceedings of the 7th ACM SIGMM international workshop on Multimedia information retrievalClassic Content-Based Image Retrieval (CBIR) takes a single non-annotated query image, and retrieves similar images from an image repository. Such a search must rely upon a holistic (or global) view of the image. Yet often the desired content of an ...
Localized Content-Based Image Retrieval
We define localized content-based image retrieval as a CBIR task where the user is only interested in a portion of the image, and the rest of the image is irrelevant. In this paper we present a localized CBIR system, Accio, that uses labeled images in ...
Content-Based Image Retrieval by Relevance Feedback
VISUAL '00: Proceedings of the 4th International Conference on Advances in Visual Information SystemsRelevance feedback is a powerful technique for content-based image retrieval. Many parameter estimation approaches have been proposed for relevance feedback. However, most of them have only utilized information of the relevant retrieved images, and have ...
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- Conference Chair:
- Dennis Bockus,
- Editors:
- Karen Bennet,
- Morven Gentleman,
- Howard Johnson,
- Evelyn Kidd
Sponsors
- IBM Canada: IBM Canada
- NRC: National Research Council - Canada
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IBM Press
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