DocumentCode :
2547201
Title :
Implicit concept-based image indexing and retrieval
Author :
Azzam, I.A. ; Leung, C.H.C. ; Horwood, J.F.
Author_Institution :
Comput. Sci. & Math., Victoria Univ. of Technol., Melbourne, Vic., Australia
fYear :
2004
fDate :
5-7 Jan. 2004
Firstpage :
354
Lastpage :
359
Abstract :
This paper focuses on implicit concept-based image indexing and retrieval (ICIIR), and the development of an improved method for the indexing and retrieval of images. The method involves the development of techniques to enable components of an image to be categorised on the basis of their relative importance with the image. Thus the storage of images involves an implicit, rather than an explicit, indexing scheme. Retrieval of images will then be effected by application of an algorithm based on the categorisation, which will allow relevant images to be identified and retrieved accurately and efficiently.
Keywords :
content-based retrieval; database indexing; image retrieval; concept-based indexing; image indexing; image retrieval; implicit indexing; Computer science; Content based retrieval; Image databases; Image retrieval; Image storage; Indexing; Information retrieval; Information systems; Multimedia databases; Visual databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Modelling Conference, 2004. Proceedings. 10th International
Print_ISBN :
0-7695-2084-7
Type :
conf
DOI :
10.1109/MULMM.2004.1265007
Filename :
1265007
Link To Document :
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