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      Classifying High Quality Photographs by Creative Exposure Themes

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      Third BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2009) (FDIA)

      Computers XXIII Celebrating People and Technology

      1 September 2009

      Aesthetics, Experimentation, Classification

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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.

            Content

            Author and article information

            Contributors
            Conference
            September 2009
            September 2009
            : 128-130
            Affiliations
            [0001]Graduate School of Global Information and Telecommunication Studies, Waseda University
            Article
            10.14236/ewic/FDIA2009.21
            6d28ab68-e006-4457-aadf-cbe6a8c29078
            © Supheakmungkol SARIN et al. Published by BCS Learning and Development Ltd. Third BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2009), Padua, Italy

            This work is licensed under a Creative Commons Attribution 4.0 Unported License. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/

            Third BCS-IRSG Symposium on Future Directions in Information Access (FDIA 2009)
            FDIA
            3
            Padua, Italy
            1 September 2009
            Electronic Workshops in Computing (eWiC)
            Computers XXIII Celebrating People and Technology
            Product
            Product Information: 1477-9358BCS Learning & Development
            Self URI (journal page): https://ewic.bcs.org/
            Categories
            Electronic Workshops in Computing

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