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Optimizing Query Performance with Inverted Cache in Metric Spaces

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Book cover Advances in Databases and Information Systems (ADBIS 2016)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9809))

Abstract

Similarity searching has become widely available in many on-line archives of multimedia content. Querying such systems starts with either a query object provided by user or a random object provided by the system, and proceeds in more iterations to improve user’s satisfaction with query results. This leads to processing many very similar queries by the system. In this paper, we analyze performance of two representatives of metric indexing structures and propose a novel concept of reordering search queue that optimizes access to data partitions for repetitive queries. This concept is verified in numerous experiments on real-life image dataset.

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Notes

  1. 1.

    http://mufin.fi.muni.cz/imgsearch/similar.

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Acknowledgements

This work was supported by Czech Science Foundation project GA16-18889S.

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Authors and Affiliations

  1. Faculty of Informatics, Masaryk University, Botanicka 68a, Brno, Czech Republic

    Matej Antol & Vlastislav Dohnal

Authors
  1. Matej Antol
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  2. Vlastislav Dohnal
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Corresponding author

Correspondence to Matej Antol .

Editor information

Editors and Affiliations

  1. MFF, Charles University MFF, Prague, Czech Republic

    Jaroslav Pokorný

  2. Faculty of Sciences, University of Novi Sad Faculty of Sciences, Novi Sad, Serbia

    Mirjana Ivanović

  3. Christian-Albrechts-Universität Kiel , Kiel, Germany

    Bernhard Thalheim

  4. VSB-Technical University Ostrava , Ostrava, Czech Republic

    Petr Šaloun

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Antol, M., Dohnal, V. (2016). Optimizing Query Performance with Inverted Cache in Metric Spaces. In: Pokorný, J., Ivanović, M., Thalheim, B., Šaloun, P. (eds) Advances in Databases and Information Systems. ADBIS 2016. Lecture Notes in Computer Science(), vol 9809. Springer, Cham. https://doi.org/10.1007/978-3-319-44039-2_5

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  • DOI: https://doi.org/10.1007/978-3-319-44039-2_5

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44038-5

  • Online ISBN: 978-3-319-44039-2

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