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Automatic Rating and Selection of Digital Photographs

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Semantic Multimedia (SAMT 2009)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5887))

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Abstract

This paper presents methods for automatically rating and selecting digital photographs. The importance of each photograph is estimated by analyzing its content as well as its time-metadata. The presence of people is estimated by combining face and skin detection. Finally, the appeal of each photograph is calculated using a trained SVM classifier. The results of a conducted user study show that the automatically obtained rating coincides well with the perception of the test persons.

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Author information

Authors and Affiliations

  1. Fraunhofer Institute for Digital Media Technology, Ehrenbergstrasse 31, 98693, Ilmenau, Germany

    Daniel Kormann, Peter Dunker & Ronny Paduschek

Authors
  1. Daniel Kormann
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  2. Peter Dunker
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  3. Ronny Paduschek
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Editor information

Editors and Affiliations

  1. National University of Singapore, 3 Science Dr, 117543, Singapore

    Tat-Seng Chua

  2. Informatics and Telematics Institute, Centre for Research and Technology-Hellas, 57001, Thessaloniki, Greece

    Yiannis Kompatsiaris

  3. Institut Eurécom. Département Communications Multimédia, 2229, route des Crêtes, B.P. 193, 06904, Sophia-Antipolis CEDEX, France

    Bernard Mérialdo

  4.  , Graz, Austria

    Werner Haas

  5. Institute of Information Systems & Information Management, JOANNEUM RESEARCH Forschungsgesellschaft mbH, Steyrergasse 17, 8010, Graz, Austria

    Georg Thallinger  & Werner Bailer  & 

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© 2009 Springer-Verlag Berlin Heidelberg

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Kormann, D., Dunker, P., Paduschek, R. (2009). Automatic Rating and Selection of Digital Photographs. In: Chua, TS., Kompatsiaris, Y., Mérialdo, B., Haas, W., Thallinger, G., Bailer, W. (eds) Semantic Multimedia. SAMT 2009. Lecture Notes in Computer Science, vol 5887. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-10543-2_23

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  • DOI: https://doi.org/10.1007/978-3-642-10543-2_23

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-10542-5

  • Online ISBN: 978-3-642-10543-2

  • eBook Packages: Computer ScienceComputer Science (R0)

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