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Improving Classification and Retrieval of Illuminated Manuscript with Semantic Information

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Digital Libraries (IRCDL 2010)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 91))

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Abstract

In this paper we detail a proposal of exploitation of expert-made commentaries in a unified system for illuminated manuscripts images analysis. In particular we will explore the possibility to improve the automatic segmentation of meaningful pictures, as well as the retrieval by similarity search engine, using clusters of keywords extracted from commentaries as semantic information.

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Author information

Authors and Affiliations

  1. Università degli Studi di Modena e Reggio Emilia, Via Vignolese 905/b, 41100, Modena

    Costantino Grana, Daniele Borghesani & Rita Cucchiara

Authors
  1. Costantino Grana
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  2. Daniele Borghesani
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  3. Rita Cucchiara
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Editor information

Editors and Affiliations

  1. Department of Information Engineering, University of Padua, Via Gradenigo, 6/b, 35131, Padova, Italy

    Maristella Agosti

  2. Dipartimento di INformatics, Università di Bari, Via Orabona 4, 70126, Bari, Italy

    Floriana Esposito

  3. Consiglio Nazionale delle Richerche, Istituto di Scienza e Tecnologie dell’Informazione, Via Moruzzi, 1, 56124, Pisa, Italy

    Costantino Thanos

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Grana, C., Borghesani, D., Cucchiara, R. (2010). Improving Classification and Retrieval of Illuminated Manuscript with Semantic Information. In: Agosti, M., Esposito, F., Thanos, C. (eds) Digital Libraries. IRCDL 2010. Communications in Computer and Information Science, vol 91. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15850-6_18

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  • DOI: https://doi.org/10.1007/978-3-642-15850-6_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-15849-0

  • Online ISBN: 978-3-642-15850-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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