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A Web-Based Approach for Automatic Composition of an Insightful Slideshow for Personal Photographs

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Knowledge-Based and Intelligent Information and Engineering Systems (KES 2009)

Abstract

Recently, the number of digital content objects is increasing rapidly with the progress of information technology. It has become important how we manage enormous digital content objects effectively and utilize them efficiently. Up to now, a lot of researches on digital content management have been reported. One of the important objectives of conventional management techniques is to search digital content objects that satisfy an information request of a user. This is based on the assumption that a user has one or more information requests. However, a user may have no information request explicitly when the user uses some kinds of devices for presenting digital content such as a digital photoframe. Such devices are expected to provide a presentation of digital content that rouses user’s interest. In this paper, we introduce an approach for composing photo slideshow that attracts user’s interest automatically.

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References

  1. Cabinet Office.: Survey of consumer behavior. adoption rate (2008), http://www.esri.cao.go.jp/jp/stat/shouhi/shouhi.htm

  2. Hiroki, U., Kosuke, N., Tetsurou, T., Ohmukai, I., Hideaki, T.: Ba-log. The Japanese Society for Artificial Intelligence (2004)

    Google Scholar 

  3. Kiyoko, I., Kazumasa, Y., Naokazu, Y.: Indexing Photos Based on Shooting Position and Orientation. MIRU (2005)

    Google Scholar 

  4. Hideyuki, F., Masatoshi, A., Koji, O.: Retrieval System for Digital Photographs using Observing point of Photographs. DEWS (2003)

    Google Scholar 

  5. Ken, M., Megumi, N., Hiroyuki, T., Kambayashi, Y.: Design and Implementation of the SpaceTag Prototype System: An Object System with Spatio-temporarily Limited Access(Special Issue on Knowledge and Information Sharing). Transactions of Information Processing Society of Japan 41(10), 2689–2697 (2000)

    Google Scholar 

  6. YingZi, J., Yutaka, M., Mitsuru, I.: Extracting Artist Network from World Wide Web. The Japanese Society for Artificial Intelligence (2006)

    Google Scholar 

  7. Keisuke, I., Yutaka, M., Yuki, Y.: Mr. Network Extraction: A Network Extraction System from the Web. The Japanese Society for Artificial Intelligence (2007)

    Google Scholar 

  8. Murano, T., Matsumoto, N.: Comparison of Approximate Methods for Traveling Salesman Problem. IEICE technical report. Nonlinear problems 102(625), pp.1–6 (2003)

    Google Scholar 

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© 2009 Springer-Verlag Berlin Heidelberg

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Yatsugi, K., Fujimura, N., Ushiama, T. (2009). A Web-Based Approach for Automatic Composition of an Insightful Slideshow for Personal Photographs. In: Velásquez, J.D., Ríos, S.A., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based and Intelligent Information and Engineering Systems. KES 2009. Lecture Notes in Computer Science(), vol 5712. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04592-9_77

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  • DOI: https://doi.org/10.1007/978-3-642-04592-9_77

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04591-2

  • Online ISBN: 978-3-642-04592-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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