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Context-Aware Media Retrieval

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Image and Video Retrieval (CIVR 2006)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 4071))

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Abstract

In this paper we propose a representation framework for dynamic multi-sensory knowledge and user context, and its application in media retrieval. We provide a definition of context, the relationship between context and knowledge and the importance of communication both as a means for the building of context as well as the end achieved by the context. We then propose a model of user context and demonstrate its application in a photo retrieval application. Our experiments demonstrate the advantages of the context-aware media retrieval over other media retrieval approaches especially relevance feedback.

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References

  1. Mani, A., Sundaram, H.: Modeling User Context with Applications to Media Retrieval. Multimedia Systems Journal (Summer 2006) (to appear)

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  2. Atkinson, R., Shiffrin, R.: Human memory: A proposed system and its control processes. In: The psychology of learning and motivation: Advances in research and theory(eds). Academic Press, New York (1968)

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  3. ConceptNet, http://web.media.mit.edu/~hugo/conceptnet

  4. Rui, Y., Huang, T.: A Novel Relevance Feedback Technique in Image Retrieval. In: Proc. ACM Multimedia 1999, November 1999, Orlando, FL (1999)

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© 2006 Springer-Verlag Berlin Heidelberg

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Mani, A., Sundaram, H. (2006). Context-Aware Media Retrieval. In: Sundaram, H., Naphade, M., Smith, J.R., Rui, Y. (eds) Image and Video Retrieval. CIVR 2006. Lecture Notes in Computer Science, vol 4071. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11788034_49

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  • DOI: https://doi.org/10.1007/11788034_49

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-36018-6

  • Online ISBN: 978-3-540-36019-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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