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Detecting the presence of large buildings in natural images

Malobabić, Jovanka and Le Borgne, Hervé and Murphy, Noel and O'Connor, Noel E. (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.

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Abstract

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.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Subjects:Computer Science > Information retrieval
Computer Science > Image processing
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
Official URL:http://cbmi05.cs.tut.fi/
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Enterprise Ireland, EI 03/IN.3/I361, Ulysse research project ReSEND (FR/2005/56), European Commission FP6-001765
ID Code:444
Deposited On:10 Apr 2008 by DORAS Administrator. Last Modified 05 May 2010 16:43

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