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