Exploring Different Optimization Techniques for an External Multimedia Meta-Search Engine

Kai Schlegel, Florian Stegmaier, Sebastian Bayerl, Harald Kosch and Mario Döller
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Kai Schlegel: Department of Computer and Information Science, University of Passau, Passau, Germany
Florian Stegmaier: Department of Informatics and Mathematics, University of Passau, Passau, Germany
Sebastian Bayerl: Department of Computer and Information Science, University of Passau, Passau, Germany
Harald Kosch: Department of Distributed Information Systems, University of Passau, Passau, Germany
Mario Döller: Department of Web Business & Technology, University of Applied Sciences Kufstein, Kufstein, Austria

International Journal of Multimedia Data Engineering and Management (IJMDEM), 2012, vol. 3, issue 4, 31-51

Abstract: Along with the tremendous growth of Social Media, the variety of multimedia sharing platforms on the Web is ever growing, whereas unified retrieval issues remain unsolved. Beside unified retrieval languages and metadata interoperability issues, a crucial task in such a retrieval environment is query optimization in federated and distributed retrieval scenarios. This work introduces three different dimensions of query optimization that have been integrated in an external multimedia meta-search engine. The main innovations are query execution planning, various query processing strategies as well as a multimedia perceptual caching system.

Date: 2012
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Persistent link: https://EconPapers.repec.org/RePEc:igg:jmdem0:v:3:y:2012:i:4:p:31-51

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