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On the efficient evaluation of probabilistic similarity functions for image retrieval

โœ Scribed by Vasconcelos, N.


Book ID
114638356
Publisher
IEEE
Year
2004
Tongue
English
Weight
594 KB
Volume
50
Category
Article
ISSN
0018-9448

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โœ Vincenzo Di Lecce; Andrea Guerriero ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 223 KB

Retrieval effectiveness in image databases depends significantly on the features and the distance model utilized to evaluate the similarity of the images. Features must be extracted from images and stored in the database. Since the features should be stored at the time of data entry, it is extremely