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NFC-Based Image Annotation

  • Conference paper
Trends in Mobile Web Information Systems (MobiWIS 2013)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 183))

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Abstract

Image retrieval most commonly uses text-based search, which requires the availability of image annotations. As digital photos are growing rapidly in number, making manual image annotation impractical, the need for automatic image annotation is evident. While current approaches to automatic image annotation is based on analysis and interpretation of visual image features and/or image metadata, we present a novel approach to image annotation based on the use of NFC technology. Through a simple touch of an NFC tag, an image capture application obtains accurate annotation information that is automatically added to images. The paper describes how images are associated to the correct NFC tag, enabling a single tag scan to facilitate automatic annotation of multiple images. We also describe how NFC-provided annotations can be used for obtaining more image relevant information from sources on the Internet.

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Author information

Authors and Affiliations

  1. Department of Computer Science, University of Tromsø, Tromsø, Norway

    Randi Karlsen & Anders Andersen

Authors
  1. Randi Karlsen
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  2. Anders Andersen
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Editor information

Editors and Affiliations

  1. Dipartimento di Elettronica e Informazione, Politecnica di Milano, Via Pronzio 34/5, 20133, Milano, Italy

    Maristella Matera

  2. LIFIA, Facultad de Informatica, Universidad Nacional de La Plata, 50 y 115 st., first floor (1900), La Plata, Buenos Aires, Argentina

    Gustavo Rossi

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Karlsen, R., Andersen, A. (2013). NFC-Based Image Annotation. In: Matera, M., Rossi, G. (eds) Trends in Mobile Web Information Systems. MobiWIS 2013. Communications in Computer and Information Science, vol 183. Springer, Cham. https://doi.org/10.1007/978-3-319-03737-0_9

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  • DOI: https://doi.org/10.1007/978-3-319-03737-0_9

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-03736-3

  • Online ISBN: 978-3-319-03737-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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