Con-text: text detection using background connectivity for fine-grained object classification

Authors:
Sezer Karaoglu;Jan C. van Gemert;Theo Gevers
Affiliations:
University of Amsterdam, Amsterdam, Netherlands;University of Amsterdam, Amsterdam, Netherlands;University of Amsterdam, Amsterdam, Netherlands
Venue:
Proceedings of the 21st ACM international conference on Multimedia
Year:
2013

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Abstract

This paper focuses on fine-grained classification by detecting photographed text in images. We introduce a text detection method that does not try to detect all possible foreground text regions but instead aims to reconstruct the scene background to eliminate non-text regions. Object cues such as color, contrast, and objectiveness are used in corporation with a random forest classifier to detect background pixels in the scene. Results on two publicly available datasets ICDAR03 and a fine-grained Building subcategories of ImageNet shows the effectiveness of the proposed method.