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Internatinoal Workshop on computational Intelligence for Multimedia Understanding

MUSCLE 2011: Computational Intelligence for Multimedia Understanding pp 90–101Cite as

Shape Retrieval and Recognition on Mobile Devices

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Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7252))

Abstract

This paper presents a proof-of-concept shape/contour-based visual recognition and retrieval approach with the main goal of lightweight implementation on mobile devices locally, not relying on network connection or server side processing. In such circumstances the focus needs to be on effectiveness and simplicity, while still preserving high level of functionality (i.e. good recognition). Application areas involve offline object recognition and template matching (e.g. for authorization and blind aid applications), and various object categorizations either in pre-processing or in full local processing.

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Author information

Authors and Affiliations

  1. Distributed Events Analysis Research Group, Computer and Automation Research Institute, Hungarian Academy of Sciences, Budapest, Hungary

    Levente Kovács

Authors
  1. Levente Kovács
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Editor information

Editors and Affiliations

  1. ISTI, National Research Council of Italy, Via Moruzzi, 1, 56124, Pisa, Italy

    Emanuele Salerno  & Ovidio Salvetti  & 

  2. Electrical and Electronics Engineering, Bilkent University, 06800, Bilkent, Ankara, Turkey

    A. Enis Çetin

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Kovács, L. (2012). Shape Retrieval and Recognition on Mobile Devices. In: Salerno, E., Çetin, A.E., Salvetti, O. (eds) Computational Intelligence for Multimedia Understanding. MUSCLE 2011. Lecture Notes in Computer Science, vol 7252. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32436-9_8

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  • DOI: https://doi.org/10.1007/978-3-642-32436-9_8

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32435-2

  • Online ISBN: 978-3-642-32436-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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