Détail de l'autorité
IPTA 2017, 7th International Conference on Image Processing Theory, Tools and Applications 28/11/2017 01/12/2017 Montréal Canada Proceedings IEEE
nom du congrès :
IPTA 2017, 7th International Conference on Image Processing Theory, Tools and Applications
début du congrès :
28/11/2017
fin du congrès :
01/12/2017
ville du congrès :
Montréal
pays du congrès :
Canada
site des actes du congrès :
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Documents disponibles (1)
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Titre : Image retrieval based on saliency for urban image contents Type de document : Article/Communication Auteurs : Kamel Guissous , Auteur ; Valérie Gouet-Brunet
, Auteur
Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2017 Projets : 2-Pas d'info accessible - article non ouvert / Conférence : IPTA 2017, 7th International Conference on Image Processing Theory, Tools and Applications 28/11/2017 01/12/2017 Montréal Canada Proceedings IEEE Importance : 6 p. Note générale : bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] recherche d'image basée sur le contenu
[Termes IGN] saillance
[Termes IGN] scène urbaineRésumé : (auteur) With the increase of image datasets size and of descriptors complexity in Content-Based Image Retrieval (CBIR) and Computer Vision, it is essential to find a way to limit the amount of manipulated data, while keeping its quality. Instead of treating the entire image, the selection of regions which hold the essence of information is a relevant option to reach this goal. As the visual saliency aims at highlighting the areas of the image which are the most important for a given task, in this paper we propose to exploit visual saliency maps to prune the most salient image features. A novel visual saliency approach based on the local distribution analysis of the edges orientation, particularly dedicated to structured contents, such as street view images of urban environments, is proposed. It is evaluated for CBIR according to three criteria: quality of retrieval, volume of manipulated features and computation time. The proposal can be exploited into various applications involving large sets of local visual features; here it is experimented within two applications: cross-domain image retrieval and image-based vehicle localisation. Numéro de notice : C2017-040 Affiliation des auteurs : LASTIG MATIS (2012-2019) Autre URL associée : vers HAL Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/IPTA.2017.8310131 Date de publication en ligne : 12/03/2018 En ligne : https://doi.org/10.1109/IPTA.2017.8310131 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91922