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Face Appeal Model Based on Statistics

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Advances in Multimedia Information Processing - PCM 2004 (PCM 2004)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3331))

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Abstract

Human appearance plays an important role in image appeal ranking for efficient management of digital photographs. Considering that face is the most salient character of human beings, we propose a face appeal model in this paper. The model is based on the statistics of a large number of data, and can be used as a component in general image appeal evaluation.

This work was performed at Microsoft Research Asia.

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Author information

Authors and Affiliations

  1. University of Science and Technology of China, Hefei, 230026, China

    Bi Song & Zhengkai Liu

  2. Microsoft Research Asia, 49 Zhichun Road, Beijing, 100080, China

    Mingjing Li, Zhiwei Li & Hong-Jiang Zhang

Authors
  1. Bi Song
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  2. Mingjing Li
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  3. Zhiwei Li
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  4. Hong-Jiang Zhang
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  5. Zhengkai Liu
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Editor information

Editors and Affiliations

  1. Department of Information and Communication Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, 113-8656, Tokyo, Japan

    Kiyoharu Aizawa

  2. IBM Research, Tokyo Research Laboratory, 1623-14 Shimo-tsuruma, Yamato, 242-0001, Kanagawa, Japan

    Yuichi Nakamura

  3. National Institute of Informatics, Tokyo, Japan

    Shin’ichi Satoh

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© 2004 Springer-Verlag Berlin Heidelberg

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Song, B., Li, M., Li, Z., Zhang, HJ., Liu, Z. (2004). Face Appeal Model Based on Statistics. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds) Advances in Multimedia Information Processing - PCM 2004. PCM 2004. Lecture Notes in Computer Science, vol 3331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30541-5_43

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  • DOI: https://doi.org/10.1007/978-3-540-30541-5_43

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-23974-1

  • Online ISBN: 978-3-540-30541-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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