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Combination of image descriptors for the exploration of cultural photographic collections / Neelanjan Bhowmik in Journal of Electronic Imaging, vol 26 n° 1 (January - February 2017)  

Public [article]  inJournal of Electronic Imaging > vol 26 n° 1 (January - February 2017) . - pp 1 - 13 Titre : Combination of image descriptors for the exploration of cultural photographic collections Type de document : Article/Communication Auteurs : Neelanjan Bhowmik , Auteur ; Valérie Gouet-Brunet , Auteur ; Gabriel Bloch, Auteur ; Sylvain Besson, Auteur Année de publication : 2017 Projets : POEME / Da Silva, Jean-Claude Article en page(s) : pp 1 - 13 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Bases de données localisées [Termes IGN] base de données d'images [Termes IGN] classification barycentrique [Termes IGN] collection [Termes IGN] fusion de données [Termes IGN] image numérisée [Termes IGN] moteur de recherche [Termes IGN] patrimoine culturel [Termes IGN] régression [Termes IGN] web des données Résumé : (Auteur) The rapid growth of image digitization and collections in recent years makes it challenging and burdensome to organize, categorize, and retrieve similar images from voluminous collections. Content-based image retrieval (CBIR) is immensely convenient in this context. A considerable number of local feature detectors and descriptors are present in the literature of CBIR. We propose a model to anticipate the best feature combinations for image retrieval-related applications. Several spatial complementarity criteria of local feature detectors are analyzed and then engaged in a regression framework to find the optimal combination of detectors for a given dataset and are better adapted for each given image; the proposed model is also useful to optimally fix some other parameters, such as the k in k-nearest neighbor retrieval. Three public datasets of various contents and sizes are employed to evaluate the proposal, which is legitimized by improving the quality of retrieval notably facing classical approaches. Finally, the proposed image search engine is applied to the cultural photographic collections of a French museum, where it demonstrates its added value for the exploration and promotion of these contents at different levels from their archiving up to their exhibition in or ex situ. Numéro de notice : A2017-189 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1117/1.JEI.26.1.011019 Date de publication en ligne : 19/12/2016 En ligne : http://dx.doi.org/10.1117/1.JEI.26.1.011019 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=84799 [article]