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Scale and orientation-invariant scene similarity metrics for image queries / A. Stefanidis in International journal of geographical information science IJGIS, vol 16 n° 8 (december 2002)  

Public [article]  inInternational journal of geographical information science IJGIS > vol 16 n° 8 (december 2002) . - pp 749 - 772 Titre : Scale and orientation-invariant scene similarity metrics for image queries Type de document : Article/Communication Auteurs : A. Stefanidis, Auteur ; Peggy Agouris, Auteur ; C. Georgiadis, Auteur ; Michela Bertolotto, Auteur ; James D. Carswell, Auteur Année de publication : 2002 Article en page(s) : pp 749 - 772 Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Traitement d'image [Termes IGN] analyse numérique [Termes IGN] ligne de base [Termes IGN] photo-interprétation assistée par ordinateur [Termes IGN] rectangle englobant minimum [Termes IGN] relation topologique [Termes IGN] requête (informatique) [Termes IGN] similitude [Termes IGN] variation d'échelle Résumé : (Auteur) In this paper, we extend our previous work on shapebased queries to support queries on configurations of image objects. Here we consider spatial reasoning, especially directional and metric object relationships. Existing models for spatial reasoning tend to rely on pre-identified cardinal directions and minimal scale variations, assumptions that cannot be considered as given in our image applications, where orientations and scale may vary substantially, and are often unknown. Accordingly, we have developed the method of varying baselines to identify similarities in direction and distance relations. Our method allows us to evaluate directional similarities without a priori knowledge of cardinal directions, and to compare distance relations even when query scene and database content differ in scale by unknown amounts. We use our method to evaluate similarity between a userdefined query scene and object configurations. Here we present this new method, and discuss its role within a broader image retrieval framework. Numéro de notice : A2002-258 Affiliation des auteurs : non IGN Thématique : IMAGERIE Nature : Article DOI : 10.1080/13658810210148552 En ligne : https://doi.org/10.1080/13658810210148552 Format de la ressource électronique : URL article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=22169 [article]

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