DocumentCode :
2398688
Title :
Content-based indexing of image and video databases by global and shape features
Author :
Ardizzo, Edoardo ; La Casc, Marco ; Di Gesú, Vito ; Valenti, Cesare
Author_Institution :
Dipartimento di Ingegneria Elettrica, Palermo Univ., Italy
Volume :
3
fYear :
1996
fDate :
25-29 Aug 1996
Firstpage :
140
Abstract :
Indexing and retrieval methods based on the image content are required to effectively use information from the large repositories of digital images and videos currently available. Both global (colour, texture, motion, etc.) and local (object shape, etc.) features are needed to perform a reliable content based retrieval. We present a method for automatic extraction of global image features, like colour and motion parameters, and their use for data restriction in video database querying. Further retrieval is therefore accomplished, in a restricted set of images, by shape feature (skeleton, local symmetry moments, correlation, etc.) local search. The proposed indexing methodology has been developed and tested inside JACOB, a prototypal system for content-based video database querying
Keywords :
feature extraction; indexing; multimedia computing; query processing; search problems; very large databases; visual databases; JACOB; content based retrieval; content-based indexing; content-based video database querying; feature extraction; global features; image colour; image content; image databases; image motion; image texture; indexing methodology; information retrieval methods; large database; local features; object shape; shape feature local search; shape features; video databases; Content based retrieval; Data mining; Digital images; Image databases; Image retrieval; Indexing; Information retrieval; Shape; Skeleton; Spatial databases;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Pattern Recognition, 1996., Proceedings of the 13th International Conference on
Conference_Location :
Vienna
ISSN :
1051-4651
Print_ISBN :
0-8186-7282-X
Type :
conf
DOI :
10.1109/ICPR.1996.546810
Filename :
546810
Link To Document :
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