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CBMI 2018, 16th International Conference on Content-Based Multimedia Indexing 04/09/2018 06/09/2018 La Rochelle France Proceedings IEEE
nom du congrès :
CBMI 2018, 16th International Conference on Content-Based Multimedia Indexing
début du congrès :
04/09/2018
fin du congrès :
06/09/2018
ville du congrès :
La Rochelle
pays du congrès :
France
site des actes du congrès :
|
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Titre : Semantic signatures for urban visual localization Type de document : Article/Communication Auteurs : Li Weng , Auteur ; Bahman Soheilian , Auteur ; Valérie Gouet-Brunet , Auteur Editeur : New York : Institute of Electrical and Electronics Engineers IEEE Année de publication : 2018 Projets : 2-Pas d'info accessible - article non ouvert / Conférence : CBMI 2018, 16th International Conference on Content-Based Multimedia Indexing 04/09/2018 06/09/2018 La Rochelle France Proceedings IEEE Importance : 6 p. Format : 21 x 30 cm Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image
[Termes IGN] analyse comparative
[Termes IGN] base de données localisées
[Termes IGN] extraction de traits caractéristiques
[Termes IGN] information sémantique
[Termes IGN] zone urbaineRésumé : (auteur) Visual localization is a useful alternative to standard localization techniques. In a typical scenario, features are extracted from images captured by cameras and compared with geo-referenced databases. Location information is then inferred from the matching results. Conventional schemes mainly use low-level visual features. They offer good accuracy but suffer from scalability issues. In order to assist localization in large urban areas, this work explores a different path by utilizing high-level semantic information. It is found that object information in a street view can facilitate localization. A novel descriptor scheme called “semantic signature” is proposed to summarize this information. A semantic signature consists of type and angle information of visible objects at a spatial location. Several metrics and protocols are proposed for signature comparison and retrieval. They illustrate different trade-offs between accuracy and complexity. Extensive simulation results confirm the potential of the proposed scheme in large-scale applications. Numéro de notice : C2018-064 Affiliation des auteurs : LASTIG MATIS+Ext (2012-2019) Thématique : IMAGERIE Nature : Communication nature-HAL : ComAvecCL&ActesPubliésIntl DOI : 10.1109/CBMI.2018.8516492 Date de publication en ligne : 15/11/2018 En ligne : https://doi.org/10.1109/CBMI.2018.8516492 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=91430