DocumentCode :
341920
Title :
Weighting spatial arrangement of colors in content based image retrieval
Author :
Berretti, S. ; Del Bimbo, A. ; Vicario, E.
Author_Institution :
Dept. of Syst. & Inf., Florence Univ., Italy
Volume :
1
fYear :
1999
fDate :
36342
Firstpage :
845
Abstract :
Content-based access to image databases relies on models which permit one to abstract images in some space of visual features. A large number of such models, addressing shape, texture, color and spatial arrangement features, have been proposed and experimented with. The fusion of multiple features within a single model is now being investigated as a way to increase the effectiveness of retrieval. In particular, the integration of color and spatial models is receiving growing interest. In this paper, we propose a representation which captures the spatial arrangement of the color sets of a picture, without talking into account their distribution in separate non-connected regions. A spatial modeling technique, which we call “weighted walkthroughs”, is presented, and its suitability to support this representation is motivated and experimented on
Keywords :
content-based retrieval; image colour analysis; spatial data structures; visual databases; colour spatial arrangement; content-based image retrieval; image abstraction; image databases; image texture features; multiple feature fusion; retrieval effectiveness; shape features; spatial modelling technique; unconnected regions; visual feature space; weighted walkthroughs; weighting; Content based retrieval; Data engineering; Histograms; Humans; Image databases; Image retrieval; Image segmentation; Indexing; Information retrieval; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Computing and Systems, 1999. IEEE International Conference on
Conference_Location :
Florence
Print_ISBN :
0-7695-0253-9
Type :
conf
DOI :
10.1109/MMCS.1999.779311
Filename :
779311
Link To Document :
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