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An Interactive Image Feature Visualization System for Supporting CBIR Study

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Image Analysis and Recognition (ICIAR 2009)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 5627))

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Abstract

CBIR has been an active topic for more than one decade. Current systems still lack in flexibility and accuracy because of semantic gap between image’s feature-level and semantic-level representations. Although many techniques have been developed for automatic or semi-automatic retrieval (e.g. interactive browsing, relevance feedback (RF)), issues about how to find suitable features and how to measure the image content still remain. It has been a challenging task to choose sound features for coding image content properly. This requires intensive interactive effort for discovering useful regularities between features and content semantics. In this paper, we present an interactive visualization system for supporting feature investigations. It allows users to choose different features, feature combinations, and representations for testing their impacts on measuring content-semantics. The experiments demonstrate how various perceptual edge features and groupings are interactively handled for retrieval measures. The system can be extended to include more features.

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Author information

Authors and Affiliations

  1. Faculty of Computer Science, Dalhousie University, Halifax, Nova Scotia, B3H 1W5, Canada

    Gang Hu & Qigang Gao

Authors
  1. Gang Hu
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  2. Qigang Gao
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Editor information

Editors and Affiliations

  1. Department of Electrical and Computer Engineering, University of Waterloo, N2L 3G1, Waterloo, Ontario, Canada

    Mohamed Kamel

  2. Faculty of Engineering, Institute of Biomedical Engineering, University of Porto, Rua Dr. Roberto Frias, 4200-465, Porto, Portugal

    Aurélio Campilho

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© 2009 Springer-Verlag Berlin Heidelberg

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Hu, G., Gao, Q. (2009). An Interactive Image Feature Visualization System for Supporting CBIR Study. In: Kamel, M., Campilho, A. (eds) Image Analysis and Recognition. ICIAR 2009. Lecture Notes in Computer Science, vol 5627. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02611-9_24

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  • DOI: https://doi.org/10.1007/978-3-642-02611-9_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02610-2

  • Online ISBN: 978-3-642-02611-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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