A benchmark for indoor/outdoor scene classification

Authors:
Andrew Payne;Sameer Singh
Affiliations:
Research School of Infomatics, University of Loughborough, Holywell Park;Research School of Infomatics, University of Loughborough, Holywell Park
Venue:
ICAPR'05 Proceedings of the Third international conference on Pattern Recognition and Image Analysis - Volume Part II
Year:
2005

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Abstract

Image scene classification is an integral part of many aspects of image processing. Indoor and Outdoor classification is a fundamental part of scene processing as it is the starting point of many semantic scene evaluation approaches. Many novel techniques have been developed to tackle this problem, but each technique relies on its own database of images thus reducing the confidence in the success of each method. We attempt here to look at the current field of indoor / outdoor scene classification and develop a benchmark model for evaluating current methods.