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- W2023206548 abstract "Much research has focused on content-based image retrieval (CBIR) methods that can be automated in image classification and query processing. In this paper, we propose a blob-centric image retrieval scheme based on the blobworld representation. The blob-centric scheme consists of several newly proposed components, including an image classification method, an image browsing method based on semantic hierarchy of representative blobs, and a blob search method based on multidimensional indexing. We present the database structures and their maintenance algorithms for these components and conduct a performance comparison of three image retrieval methods, the naive method, the representative-blobs method, and the indexed-blobs method. Our quantitative analysis shows significant reduction in query response time by using the representative-blobs method and the indexed-blobs method." @default.
- W2023206548 created "2016-06-24" @default.
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- W2023206548 date "2006-12-01" @default.
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- W2023206548 title "Content-based object organization for efficient image retrieval in image databases" @default.
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- W2023206548 doi "https://doi.org/10.1016/j.dss.2006.04.013" @default.
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