Sie befinden Sich nicht im Netzwerk der Universität Paderborn. Der Zugriff auf elektronische Ressourcen ist gegebenenfalls nur via VPN oder Shibboleth (DFN-AAI) möglich. mehr Informationen...
SUN attribute database: Discovering, annotating, and recognizing scene attributes
Ist Teil von
2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012, p.2751-2758
Ort / Verlag
IEEE
Erscheinungsjahr
2012
Quelle
IEEE Electronic Library (IEL)
Beschreibungen/Notizen
In this paper we present the first large-scale scene attribute database. First, we perform crowd-sourced human studies to find a taxonomy of 102 discriminative attributes. Next, we build the "SUN attribute database" on top of the diverse SUN categorical database. Our attribute database spans more than 700 categories and 14,000 images and has potential for use in high-level scene understanding and fine-grained scene recognition. We use our dataset to train attribute classifiers and evaluate how well these relatively simple classifiers can recognize a variety of attributes related to materials, surface properties, lighting, functions and affordances, and spatial envelope properties.