Title :
Fuzzy image retrieval system
Author :
Aguilera, A. ; Suber, A.R. ; Martínez, L. ; Subero, A. ; Tineo, L.J.
Author_Institution :
Dept. of Comput., Univ. of Carabobo, Naguanagua, Venezuela
fDate :
6/23/1905 12:00:00 AM
Abstract :
To address the emerging needs of applications that require access to and retrieval of multimedia objects, we are developing an intelligent image retrieval system called FIRS. In this paper, we concentrate on the retrieval subsystem and its support for content-based queries over image databases. Content-based retrieval techniques (statistics, probabilistic, vector-oriented and fuzzy) have been extensively studied for textual documents in the area of automatic information retrieval. This paper show the adaptation of the fuzzy retrieval technique, used by the textual data, in the images´ context
Keywords :
content-based retrieval; fuzzy systems; image retrieval; knowledge based systems; visual databases; FIRS; automatic information retrieval; content-based queries; content-based retrieval techniques; fuzzy image retrieval system; fuzzy retrieval technique; fuzzy techniques; image databases; intelligent image retrieval system; multimedia objects; probabilistic techniques; statistical techniques; vector-oriented techniques; Content based retrieval; Finite impulse response filter; Fuzzy systems; Image databases; Image retrieval; Information retrieval; Intelligent systems; Multimedia databases; Multimedia systems; Statistics;
Conference_Titel :
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Conference_Location :
Melbourne, Vic.
Print_ISBN :
0-7803-7293-X
DOI :
10.1109/FUZZ.2001.1008884
