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Keynote Talk: More than a Thousand Words

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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 talk will examine the challenges and opportunities of Multimedia Search, i.e., finding multimedia by fragments, examples and excerpts. What is the state-of-the-art in finding known items in a huge database of images? Can your mobile phone take a picture of a statue and tell you about its artist and significance? What is the importance of geography as local context of queries? To which extent can automated image annotation from pixels help the retrieval process? Does external knowledge in terms of ontologies or other resources help the process along?

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Authors and Affiliations

  1. Knowledge Media Institute, The Open University,  

    Stefan Rüger

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  1. Stefan Rüger
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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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Rüger, S. (2009). Keynote Talk: More than a Thousand Words. 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_2

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  • DOI: https://doi.org/10.1007/978-3-642-10543-2_2

  • 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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