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Mass Personalization: Social and Interactive Applications Using Sound-Track Identification

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Handbook of Multimedia for Digital Entertainment and Arts

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Abstract

Mass media is the term used to denote, as a class, that section of the media specifically conceived and designed to reach a very large audience \(\ldots \) forming a mass society with special characteristics, notably atomization or lack of social connections (en. wikipedia.org).

These characteristics of mass media contrast sharply with the World Wide Web. Mass-media channels typically provide limited content to many people; the Web provides vast amounts of information, most of interest to few. Mass-media channels are typically consumed in a largely anonymous, passive manner, while the Web provides many interactive opportunities like chatting, emailing and trading. Our goal is to combine the best of both worlds: integrating the relaxing and effortless experience of mass-media content with the interactive and personalized potential of the Web, providing mass personalization.

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Notes

  1. 1.

    The dialog was: (woman’s voice) “Do you think I could borrow ten dollars until Thursday?,” (man’s voice) “Why not, it’s no big deal.”

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Acknowledgements

The authors would like to gratefully acknowledge Y. Ke, D. Hoiem, and R. Sukthankar for providing an audio fingerprinting system to begin our explorations. Their audio-fingerprinting system and their results may be found at: http://www.cs.cmu.edu/ yke/ musicretrieval.

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Authors and Affiliations

  1. Center for Neural Computation, The Hebrew University of Jerusalem, Jerusalem, 91904, Israel

    Michael Fink

  2. Google Research, Google Inc., 1600 Amphitheatre Parkway, Mountain View, CA, 94043, USA

    Michele Covell & Shumeet Baluja

Authors
  1. Michael Fink
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  2. Michele Covell
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  3. Shumeet Baluja
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Correspondence to Michael Fink .

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Editors and Affiliations

  1. Dept. Computer Science &, Florida Atlantic University, Glades Road 777, Boca Raton, 33431, U.S.A.

    Borko Furht

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Fink, M., Covell, M., Baluja, S. (2009). Mass Personalization: Social and Interactive Applications Using Sound-Track Identification. In: Furht, B. (eds) Handbook of Multimedia for Digital Entertainment and Arts. Springer, Boston, MA. https://doi.org/10.1007/978-0-387-89024-1_33

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  • DOI: https://doi.org/10.1007/978-0-387-89024-1_33

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  • Publisher Name: Springer, Boston, MA

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  • Online ISBN: 978-0-387-89024-1

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