Designing a peer-to-peer architecture for distributed image retrieval

Akrivi Vlachou; Christos Doulkeridis; Dimitrios Mavroeidis; Michalis Vazirgiannis

doi:10.1007/978-3-540-79860-6_15

Designing a peer-to-peer architecture for distributed image retrieval

Akrivi Vlachou
, Christos Doulkeridis
, Dimitrios Mavroeidis
, Michalis Vazirgiannis

Athens Univ. of Econ. and Business

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

The World Wide Web provides an enormous amount of images easily accessible to everybody. The main challenge is to provide efficient search mechanisms for image content that are truly scalable and can support full coverage of web contents. In this paper, we present an architecture that adopts the peer-to-peer (P2P) paradigm for indexing, searching and ranking of image content. The ultimate goal of our architecture is to provide an adaptive search mechanism for image content, enhanced with learning, relying on image features, user-defined annotations and user feedback. Thus, we present PIRES, a scalable decentralized and distributed infrastructure for building a search engine for image content capitalizing on P2P technology. In the following, we first present the core scientific and technological objectives of PIRES, and then we present some preliminary experimental results of our prototype.

Original language	English
Title of host publication	Adaptive Multimedial Retrieval
Subtitle of host publication	Retrieval, User, and Semantics - 5th International Workshop, AMR 2007, Revised Selected Papers
Pages	182-195
Number of pages	14
DOIs	https://doi.org/10.1007/978-3-540-79860-6_15
Publication status	Published - 28 Jul 2008
Externally published	Yes
Event	5th International Workshop on Adaptive Multimedial Retrieval, AMR 2007 - Paris, France Duration: 5 Jul 2007 → 6 Jul 2007

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume	4918 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	5th International Workshop on Adaptive Multimedial Retrieval, AMR 2007
Country/Territory	France
City	Paris
Period	5/07/07 → 6/07/07

Keywords

Distributed search
Image retrieval
Peer-to-peer

Access to Document

10.1007/978-3-540-79860-6_15

Cite this

Vlachou, A., Doulkeridis, C., Mavroeidis, D., & Vazirgiannis, M. (2008). Designing a peer-to-peer architecture for distributed image retrieval. In Adaptive Multimedial Retrieval: Retrieval, User, and Semantics - 5th International Workshop, AMR 2007, Revised Selected Papers (pp. 182-195). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4918 LNCS). https://doi.org/10.1007/978-3-540-79860-6_15

Vlachou, Akrivi ; Doulkeridis, Christos ; Mavroeidis, Dimitrios et al. / Designing a peer-to-peer architecture for distributed image retrieval. Adaptive Multimedial Retrieval: Retrieval, User, and Semantics - 5th International Workshop, AMR 2007, Revised Selected Papers. 2008. pp. 182-195 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

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abstract = "The World Wide Web provides an enormous amount of images easily accessible to everybody. The main challenge is to provide efficient search mechanisms for image content that are truly scalable and can support full coverage of web contents. In this paper, we present an architecture that adopts the peer-to-peer (P2P) paradigm for indexing, searching and ranking of image content. The ultimate goal of our architecture is to provide an adaptive search mechanism for image content, enhanced with learning, relying on image features, user-defined annotations and user feedback. Thus, we present PIRES, a scalable decentralized and distributed infrastructure for building a search engine for image content capitalizing on P2P technology. In the following, we first present the core scientific and technological objectives of PIRES, and then we present some preliminary experimental results of our prototype.",

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Vlachou, A, Doulkeridis, C, Mavroeidis, D & Vazirgiannis, M 2008, Designing a peer-to-peer architecture for distributed image retrieval. in Adaptive Multimedial Retrieval: Retrieval, User, and Semantics - 5th International Workshop, AMR 2007, Revised Selected Papers. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 4918 LNCS, pp. 182-195, 5th International Workshop on Adaptive Multimedial Retrieval, AMR 2007, Paris, France, 5/07/07. https://doi.org/10.1007/978-3-540-79860-6_15

Designing a peer-to-peer architecture for distributed image retrieval. / Vlachou, Akrivi; Doulkeridis, Christos; Mavroeidis, Dimitrios et al.
Adaptive Multimedial Retrieval: Retrieval, User, and Semantics - 5th International Workshop, AMR 2007, Revised Selected Papers. 2008. p. 182-195 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 4918 LNCS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Vlachou A, Doulkeridis C, Mavroeidis D, Vazirgiannis M. Designing a peer-to-peer architecture for distributed image retrieval. In Adaptive Multimedial Retrieval: Retrieval, User, and Semantics - 5th International Workshop, AMR 2007, Revised Selected Papers. 2008. p. 182-195. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). doi: 10.1007/978-3-540-79860-6_15

Designing a peer-to-peer architecture for distributed image retrieval

Abstract

Publication series

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Keywords

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