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Multimedia Information Retrieval and Management pp 226–245Cite as

Feature-Based Retrieval in Visual Database Systems

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Part of the book series: Signals and Communication Technology ((SCT))

Abstract

This chapter presents issues related to architecture, query processing, and indexing in visual database systems. The architectural issues for visual databases have more requirements than traditional databases. Metadata hierarchy, indexing using clusters and templates, and clustering using heterogeneous features are core issues in featurebased retrieval and play significant roles in efficiency and accuracy of query results. Querying, ranking, and merging heterogeneous features are explained from the perspective of the performance of the system and the satisfaction of the requirements of the users. Relevance feedback from the users increases accuracy in the retrieval.

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Authors
  1. Prof. Aidong Zhang
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  2. Dr. Ramazan Savaş Aygün
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  3. Prof. Yuqing Song
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Editor information

Editors and Affiliations

  1. Centre for Multimedia Signal Processing, The Hong Kong Polytechnic University, China

    David Dagan Feng PhD  & Wan-Chi Siu PhD  & 

  2. School of Information Technologies, The University of Sydney, Australia

    David Dagan Feng PhD

  3. Microsoft Research, Asia, China

    Hong-Jiang Zhang PhD

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© 2003 Springer-Verlag Berlin Heidelberg

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Zhang, A., Aygün, R.S., Song, Y. (2003). Feature-Based Retrieval in Visual Database Systems. In: Feng, D.D., Siu, WC., Zhang, HJ. (eds) Multimedia Information Retrieval and Management. Signals and Communication Technology. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-05300-3_10

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  • DOI: https://doi.org/10.1007/978-3-662-05300-3_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-05533-1

  • Online ISBN: 978-3-662-05300-3

  • eBook Packages: Springer Book Archive

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