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Abstract: . We propose a new efficient indexing scheme, called the HG-tree, to support content-based retrieval in image databases. Image content is represented by a point in a multidimensional feature space. The types of queries considered are the range query and the nearest-neighbor query, both in a multidimensional space. Our goals are twofold: increasing the storage utilization and decreasing the area covered by the directory regions of the index tree. The high storage utilization and the small... (Update)
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.... and filtering schemes are presented for example in (Alexandrov et al. 1995) Zhang et al. 1995) Berman Shapiro 1998) and (Cha Chung 1998). 3.3. Document image retrieval Several commercial systems have been developed for the management and analysis of document images....
...effective and efficient retrieval of images based on their contents. The underlying index structure used for all indexes is the HG tree [1]. In addition to the HG tree, the signature file and hashing technique are also employed to index keywords and semantic features. The...
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2: Query by Image and Video Content: The QBIC System (context) - Flickner, Sawhney et al. - 1995
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BibTeX entry: (Update)
Cha GH& Chung CW (1998) A new indexing scheme for content-based image retrieval. Multimedia Tools and Applications, 6(3): 263-288. http://citeseer.ist.psu.edu/gh98new.html More
@misc{ gh98new,
author = "C. GH and C. CW",
title = "A new indexing scheme for content-based image retrieval",
text = "Cha GH& Chung CW (1998) A new indexing scheme for content-based image retrieval.
Multimedia Tools and Applications, 6(3): 263-288.",
year = "1998",
url = "citeseer.ist.psu.edu/gh98new.html" }
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