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Practical Applications of Multimedia Search

  • Conference paper
Image and Video Retrieval (CIVR 2005)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 3568))

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Abstract

Just one decade ago image and video retrieval was a technology looking for applications. Now people are dying to get image and video retrieval technology, but there are no good practical solutions. Advances in devices, processing, and storage have resulted in pervasive use of visual information acquisition and usage, but technology development in this area has not kept pace with the rate of other developments. In this paper, we will present some practical systems that are emerging for image and video search and management. I will also present perspectives on why research in image and video retrieval is becoming irrelevant to real world applications. Finally, I will present my beliefs about how research in image and video retrieval can be on the center stage in visual information management for real applications.

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Author information

Authors and Affiliations

  1. Donald Bren Professor in Information & Computer Sciences, Department of Computer Science, Bren School of Information and Computer Sciences, University of California, Irvine, CA, 92697-3425, USA

    Ramesh Jain

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  1. Ramesh Jain
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Editor information

Editors and Affiliations

  1. Dept. of Computer Science, National University of Singapore, Computing 1, 117590, Singapore

    Wee-Kheng Leow

  2. LIACS Media Lab, Leiden University,  

    Michael S. Lew  & Erwin M. Bakker  & 

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

    Tat-Seng Chua

  4. Microsoft Research Asia, 4F, Sigma Center, No.49, Zhichun Road, 100080, Beijing, P.R.China

    Wei-Ying Ma

  5. School of Computing, National University of Singapore, 3 Science Drive 2, 117543, Singapore

    Lekha Chaisorn

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© 2005 Springer-Verlag Berlin Heidelberg

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Jain, R. (2005). Practical Applications of Multimedia Search. In: Leow, WK., Lew, M.S., Chua, TS., Ma, WY., Chaisorn, L., Bakker, E.M. (eds) Image and Video Retrieval. CIVR 2005. Lecture Notes in Computer Science, vol 3568. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11526346_5

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  • DOI: https://doi.org/10.1007/11526346_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-27858-0

  • Online ISBN: 978-3-540-31678-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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