Parallel and distributed methods for image retrieval with dynamic feature extraction on cluster architectures

Author

Kao, Odej

Author_Institution

Dept. of Comput. Sci., Tech. Univ. Clausthal, Germany

fYear

2001

fDate

2001

Firstpage

110

Lastpage

114

Abstract

This paper presents techniques for parallel multimedia retrieval by considering an image database as an example. The discussed cluster architecture depicts one possible solution for the performance problem. The distribution of the image data over a large number of nodes enables a parallel processing of the compute intensive operations for dynamic image retrieval. Thus, the partitioning of the data and the applied strategies for workload balancing have a decisive impact on the performance, efficiency, and the usability of such image databases

Keywords

distributed databases; feature extraction; image retrieval; multimedia databases; parallel databases; pattern clustering; resource allocation; visual databases; cluster architecture; distributed databases; feature extraction; image database; image retrieval; multimedia database; parallel databases; parallel processing; workload balancing; Art; Computer architecture; Data mining; Feature extraction; Image databases; Image processing; Image retrieval; Information retrieval; Multimedia databases; Multimedia systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Database and Expert Systems Applications, 2001. Proceedings. 12th International Workshop on

Conference_Location

Munich

Print_ISBN

0-7695-1230-5

Type

conf

DOI

10.1109/DEXA.2001.953049

Filename

953049