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Content-Based Classification of Digital Photos

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Multiple Classifier Systems (MCS 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2364))

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Abstract

Annotating images with a description of the content can facilitate the organization, storage and retrieval of image databases. It can also be useful in processing images, by taking into account the scene depicted, in intelligent scanners, digital cameras, photocopiers, and printers. We present here our experimentation on indoor/outdoor/close-up content-based image classification. More specifically, we show that it is possible to relate low-level visual features to semantic photo categories, such as indoor, outdoor and close-up, using tree classifiers. We have designed and experimentally compared several classification strategies, producing a classifier that can provide a reasonably good performance on a generic photograph database.

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Author information

Authors and Affiliations

  1. ITC-TIM, Consiglio Nazionale delle Ricerche, Via Ampere 56, 20131, Milano, Italy

    R. Schettini & C. Cusano

  2. IMATI, Consiglio Nazionale delle Ricerche, Via Ampere 56, 20131, Milano, Italy

    C. Brambilla

Authors
  1. R. Schettini
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  2. C. Brambilla
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  3. C. Cusano
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Editor information

Editors and Affiliations

  1. Dept. of Electrical and Electronical Engineering, University of Cagliari, Piazza D’Armi, 09123, Cagliari, Italy

    Fabio Roli

  2. Centre for Vision, Speech and Signal Processing, University of Surrey, Guilford, Surrey, GUZ 7XH, UK

    Josef Kittler

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© 2002 Springer-Verlag Berlin Heidelberg

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Schettini, R., Brambilla, C., Cusano, C. (2002). Content-Based Classification of Digital Photos. In: Roli, F., Kittler, J. (eds) Multiple Classifier Systems. MCS 2002. Lecture Notes in Computer Science, vol 2364. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45428-4_27

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  • DOI: https://doi.org/10.1007/3-540-45428-4_27

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43818-2

  • Online ISBN: 978-3-540-45428-1

  • eBook Packages: Springer Book Archive

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