Detecting the presence of large buildings in natural images
Malobabić, Jovanka, Le Borgne, HervéORCID: 0000-0003-0520-8436, Murphy, Noel and O'Connor, Noel E.ORCID: 0000-0002-4033-9135
(2005)
Detecting the presence of large buildings in natural images.
In: CBMI 2005 - 4th International Workshop on Content-Based Multimedia Indexing, 21-23 June 2005, Riga, Latvia.
This paper addresses the issue of classification of lowlevel
features into high-level semantic concepts for the purpose of semantic annotation of consumer photographs. We adopt a multi-scale approach that relies on edge detection to extract an edge orientation-based feature description of the image, and apply an SVM learning technique to infer the presence of a dominant building object in a general purpose collection of digital photographs. The approach exploits prior knowledge on the image context through an assumption that all input images are �outdoor�, i.e. indoor/outdoor classification (the context determination stage) has been performed. The proposed approach is validated on a diverse dataset of 1720 images and its performance compared with that of the MPEG-7 edge histogram descriptor.