ORBi: Marée Raphaël - Incremental Indexing and Distributed Image Search using Shared Randomized Vocabularies

Reference : Incremental Indexing and Distributed Image Search using Shared Randomized Vocabularies


	Document type :	Scientific congresses and symposiums : Paper published in a book
	Discipline(s) :	Engineering, computing & technology : Computer science
	To cite this reference:	http://hdl.handle.net/2268/4319

Title :	Incremental Indexing and Distributed Image Search using Shared Randomized Vocabularies
Language :	English
Author, co-author :	Marée, Raphaël [Université de Liège - ULg > > GIGA-Management : Plateforme bioinformatique >]
	Denis, Philippe [ > > ]
	Wehenkel, Louis [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
	Geurts, Pierre [Université de Liège - ULg > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Systèmes et modélisation >]
Publication date :	Mar-2010
Main document title :	ACM Proceedings MIR 2010
On invitation :	No
Audience :	International
Event name :	11th ACM SIGMM International Conference on Multimedia Information Retrieval
Event date :	du 29 mars au 31 mars 2010
Event place (city) :	Philadelphia
Event country :	USA
Keywords :	[en] content-based image retrieval ; incremental ; distributed
	[fr] recherche d'images ; incrémentale ; distribuée
Abstract :	[en] We present a cooperative framework for content-based image retrieval for the realistic setting where images are distributed across multiple cooperating servers. The proposed method is in line with bag-of-features approaches but uses fully data-independent, randomized structures, shared by the cooperating servers, to map image features to common visual words. A coherent, global image similarity measure (which is a kernel) is computed in a distributed fashion over visual words, by only requiring a small amount of data transfers between nodes. Our experiments on various image types show that this framework is a very promising step towards large-scale, distributed content-based image retrieval.
Funders :	Fonds Européen de Développement Régional - FEDER ; Fonds de la Recherche Scientifique (Communauté française de Belgique) - F.R.S.-FNRS ; Politique Scientifique Fédérale (Belgique) = Belgian Federal Science Policy
Target :	Researchers ; Professionals ; Students
Permalink :	http://hdl.handle.net/2268/4319

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