An integrated approach to automatic indoor outdoor scene classification in digital images

Abstract

This paper describes a method for automatic indoor/outdoor scene classification in digital images. Digital images of the inside of buildings will contain a higher proportion of objects with sharp edges. We used an edge detection algorithm on these images and used a method to collect and measure the straightness of the lines in the image. This paper highlights a novel integrated method of measuring these straight lines, and training a neural network to detect the difference between a set of indoor and outdoor images. © Springer-Verlag Berlin Heidelberg 2004.