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