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Multimedia Retrieval Algorithmics

  • Conference paper
SOFSEM 2007: Theory and Practice of Computer Science (SOFSEM 2007)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4362))

Abstract

After text retrieval, the next waves in web searching and multimedia retrieval are the search for and delivery of images, music, video, and 3D scenes. Not only the perceptual and cognitive aspects, but also many of the algorithmic and performance aspects are still badly understood. One relevant issue is the design of dissimilarity measures (distance functions) that have desired properties. Another aspect is the development of algorithms that can compute or approximate these distances efficiently. Indexing data structures and search algorithms are necessary to make the search more efficient than sequential browsing through large collections. Apart from provable properties of individual algorithms, the experimental verification of the performance of a complete retrieval system is important to analyse merits and drawbacks of certain approaches, and to compare various techniques.

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Jan van Leeuwen Giuseppe F. Italiano Wiebe van der Hoek Christoph Meinel Harald Sack František Plášil

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Veltkamp, R.C. (2007). Multimedia Retrieval Algorithmics. In: van Leeuwen, J., Italiano, G.F., van der Hoek, W., Meinel, C., Sack, H., Plášil, F. (eds) SOFSEM 2007: Theory and Practice of Computer Science. SOFSEM 2007. Lecture Notes in Computer Science, vol 4362. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69507-3_11

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  • DOI: https://doi.org/10.1007/978-3-540-69507-3_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-69506-6

  • Online ISBN: 978-3-540-69507-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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