DocumentCode :
1553212
Title :
Similarity measures
Author :
Santini, Simone ; Jain, Ramesh
Author_Institution :
Dept. of Electr. & Comput. Eng., California Univ., San Diego, La Jolla, CA, USA
Volume :
21
Issue :
9
fYear :
1999
fDate :
9/1/1999 12:00:00 AM
Firstpage :
871
Lastpage :
883
Abstract :
With complex multimedia data, we see the emergence of database systems in which the fundamental operation is similarity assessment. Before database issues can be addressed, it is necessary to give a definition of similarity as an operation. We develop a similarity measure, based on fuzzy logic, that exhibits several features that match experimental findings in humans. The model is dubbed fuzzy feature contrast (FFC) and is an extension to a more general domain of the feature contrast model due to Tversky (1977). We show how the FFC model can be used to model similarity assessment from fuzzy judgment of properties, and we address the use of fuzzy measures to deal with dependencies among the properties
Keywords :
content-based retrieval; fuzzy logic; fuzzy set theory; multimedia databases; visual databases; complex multimedia data; fuzzy feature contrast model; similarity assessment; similarity measures; Content based retrieval; Distortion measurement; Extraterrestrial measurements; Humans; Image databases; Image retrieval; Information retrieval; Multimedia systems; Psychology; Spatial databases;
fLanguage :
English
Journal_Title :
Pattern Analysis and Machine Intelligence, IEEE Transactions on
Publisher :
ieee
ISSN :
0162-8828
Type :
jour
DOI :
10.1109/34.790428
Filename :
790428
Link To Document :
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