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      Classifying High Quality Photographs by Creative Exposure Themes

      ,

      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.

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          Author and article information

          Contributors
          Conference
          September 2009
          September 2009
          : 128-130
          Affiliations
          Graduate School of Global Information and Telecommunication Studies, Waseda University
          Article
          10.14236/ewic/FDIA2009.21
          © 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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