DocumentCode :
3103956
Title :
Scheduling aspects for image retrieval in cluster-based image databases
Author :
Kao, O. ; Steinert, G. ; Drews, F.
Author_Institution :
Dept. of Comput. Sci., Tech. Univ. Clausthal, Germany
fYear :
2001
fDate :
2001
Firstpage :
329
Lastpage :
336
Abstract :
Systems for the archival and retrieval of images are used in many areas, for example medical applications, news agencies, etc. The state-of-the-art approach for image description considers a priori extracted features. The disadvantageous reduction of the image content onto a few low-level features limits the applicability of image databases. A search for objects and other important image components requires dynamic feature extraction. The related computational and storage requirements exceed the possibilities of computer architectures with a single processing element. Therefore we developed a cluster platform, which supports the implementation of this novel retrieval approach in existing systems. We introduce the basic principles of image retrieval with dynamic feature extraction and a cluster platform. The main focus regards thereby the workload balancing across the cluster. For this purpose we developed a scheduling heuristic and executed performance measurements with the implemented prototype. The obtained results are discussed
Keywords :
feature extraction; image retrieval; resource allocation; scheduling; software performance evaluation; visual databases; workstation clusters; cluster platform; cluster-based image databases; dynamic feature extraction; image description; image retrieval; performance measurements; scheduling; workload balancing; Biomedical equipment; Computer architecture; Data mining; Feature extraction; Focusing; Image databases; Image retrieval; Information retrieval; Medical services; Processor scheduling;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cluster Computing and the Grid, 2001. Proceedings. First IEEE/ACM International Symposium on
Conference_Location :
Brisbane, Qld.
Print_ISBN :
0-7695-1010-8
Type :
conf
DOI :
10.1109/CCGRID.2001.923210
Filename :
923210
Link To Document :
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