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Pacific-Rim Conference on Multimedia

PCM 2010: Advances in Multimedia Information Processing - PCM 2010 pp 36–45Cite as

A Simple Content-Based Strategy for Estimating the Geographical Location of a Webcam

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 6297))

Abstract

This study proposes a strategy for determining the approximate geographical location of a webcam based on a sequence of images taken at regular intervals. For a time-stamped image sequence spanning 24 hours the approximate sunrise and sunset times are determined by classifying images into day and nighttime images based on the image intensity. Based on the sunrise and sunset times both the latitude and longitude of the webcam can be determined. Experimental data demonstrates the effectiveness of the strategy.

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Author information

Authors and Affiliations

  1. Faculty of Engineering, Oslo University College, P.O. Box 4, St. Olavs Plass, N-0130, Oslo, Norway

    Frode Eika Sandnes

Authors
  1. Frode Eika Sandnes
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Editor information

Editors and Affiliations

  1. School of Computer Science, University of Nottingham, Jubilee Campus, NG8 1BB, Nottingham, UK

    Guoping Qiu

  2. The Centre for Multimedia Signal Processing, The Hong Kong Polytechnic University, Hong Kong, China

    Kin Man Lam

  3. Faculty of System Design, Tokyo Metropolitan University, 6-6, Asahigaoka, 191-0065, Hino-city, Tokyo

    Hitoshi Kiya

  4. Shanghai Key Laboratory of Intelligent Information Processing, Department of Computer Science & Engineering, Fudan University, Shanghai, China

    Xiang-Yang Xue

  5. Department of Electrical Engineering, University of Southern California, 90089-2564, Los Angeles, CA

    C.-C. Jay Kuo

  6. LIACS Media Lab, Leiden University,  

    Michael S. Lew

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© 2010 Springer-Verlag Berlin Heidelberg

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Sandnes, F.E. (2010). A Simple Content-Based Strategy for Estimating the Geographical Location of a Webcam. In: Qiu, G., Lam, K.M., Kiya, H., Xue, XY., Kuo, CC.J., Lew, M.S. (eds) Advances in Multimedia Information Processing - PCM 2010. PCM 2010. Lecture Notes in Computer Science, vol 6297. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15702-8_4

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  • DOI: https://doi.org/10.1007/978-3-642-15702-8_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15701-1

  • Online ISBN: 978-3-642-15702-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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