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- W2364762281 abstract "Owing to the widespread use of digital images, methods for efficient image access, image management and image retrieval have become urgent requirements to image users. Content-based image retrieval (CBIR) has attracted increasing attention from researchers for it is an excellent solution to the problem. In this paper, we reviewed the requirements of CBIR technique including adaptation to the storage management for large database of images and query application. We introduced the system structures for CBIR. The key techniques for CBIR are the structure of content-based image database, the query retrieval of pixel field images and the query retrieval of compress field images. The existing systems for CBIR include QBIC, Virage, Visual SEEK, PhotoBook and MARS. We also analyzed the existing problems and the research trends for CBIR. The major research trends for CBIR are evaluation technology, semantic content-based image retrieval, data model, integrated measurement for retrieval and multi-dimensional indexing technology." @default.
- W2364762281 created "2016-06-24" @default.
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- W2364762281 date "2004-01-01" @default.
- W2364762281 modified "2023-09-25" @default.
- W2364762281 title "Techniques of content-based image retrieval" @default.
- W2364762281 hasPublicationYear "2004" @default.
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