Classifying high quality photographs by creative exposure themes

Authors:
Supheakmungkol SARIN;Wataru KAMEYAMA
Affiliations:
Graduate School of Global Information and Telecommunication Studies, Waseda University;Graduate School of Global Information and Telecommunication Studies, Waseda University
Venue:
FDIA'09 Proceedings of the Third BCS-IRSG conference on Future Directions in Information Access
Year:
2009

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Abstract

In this paper, we propose to utilize contextual camera setting parameters at the time of capture to perform the classification task of high quality photographs. With supervised machine learning algorithm, we build a model that can classify high quality photographs into six creative exposure themes which are commonly known and used by the professional photographers. Our experiments give us an encouraging result.