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A distributed content-based search engine based on mobile code
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Proceedings of the 2005 ACM symposium on Applied computing table of contents
Santa Fe, New Mexico
SESSION: Agents, interactions, mobility, and systems (AIMS) table of contents
Pages: 66 - 73  
Year of Publication: 2005
ISBN:1-58113-964-0
Authors
Volker Roth  OGM Laboratory LLC
Ulrich Pinsdorf  Fraunhofer IGD Germany
Jan Peters  Fraunhofer IGD Germany
Sponsor
SIGAPP: ACM Special Interest Group on Applied Computing
Publisher
ACM  New York, NY, USA
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ABSTRACT

Current search engines crawl the Web, download content, and digest this content locally. For multimedia content, this involves considerable volumes of data. Furthermore, this process covers only publicly available content because content providers are concerned that they otherwise loose control over the distribution of their intellectual property. We present the prototype of our secure and distributed search engine, which dynamically pushes content based feature extraction to image providers. Thereby, the volume of data that is transported over the network is significantly reduced, and the concerns mentioned above are alleviated. The distribution of feature extraction and matching algorithms is done by mobile software agents. We give a description of the search engine's architecture and implementation, quantitative evaluation results, and a discussion of related security mechanism for content protection and server security.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
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Volker Roth. Distributed image indexing and retrieval with mobile agents. In IEE European Workshop on Distributed Imaging, number 1999/109 in IEE Electronics & Communications, pages 14/1--14/5, Savoy Place, London, WC2R 0BL, UK, November 1999. IEE. ISSN 0963-3308.
 
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Stan Franklin and Art Graesser. Is it an agent, or just a program? In Intelligent Agents III, volume 1193 of Lecture Notes in Artificial Intelligence, pages 21--36, Berlin, 1997. Springer Verlag.
 
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M. Beigi, A. B. Benitez, and S.-F. Chang. MetaSEEk: A content-based meta-search engine for images. In Proc. Storage and Retrieval for Image and Video Databases VI (SPIE), San Jose, CA, USA, January 1998.
 
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Collaborative Colleagues:
Volker Roth: colleagues
Ulrich Pinsdorf: colleagues
Jan Peters: colleagues