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Exploiting the Query Expansion through Knowledgebases for Images

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Visual Informatics: Sustaining Research and Innovations (IVIC 2011)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 7067))

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Abstract

The evolution in the digital technology from the last few decades and different multimedia sources like Broadcast news, Movies, Videos, images, etc. have increased the size volume of the digital media daily. Due to this explosive growth in the digital media volume, it’s strongly urged for the system that efficiently and effectively compiles the user demand and retrieving the relevant images. In this paper, the user query will be expanded through an open-source knowledge base WordNet and ConceptNet for retrieves the images on the base of different synonyms and concepts. This technique covers the word mismatch and word sense disambiguation (WSD) problem. Propose method effectively applied on the open benchmark image dataset LabelMe. The experimental results show that of the propose techniques have improved the retrieval performance over the traditional ones and get the accuracy up to 94% for single word and 83% for sentence word queries.

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Author information

Authors and Affiliations

  1. Department of Computer and Information Sciences, Universiti Teknologi PETRONAS, Malaysia

    Roohullah & J. Jaafar

Authors
  1. Roohullah
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  2. J. Jaafar
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Editor information

Editors and Affiliations

  1. Universiti Kebangsaan Malaysia, Bangi, Malaysia

    Halimah Badioze Zaman

  2. University of Cambridge, UK

    Peter Robinson

  3. Imperial College, London, UK

    Maria Petrou

  4. Newcastle University upon-Tyne, UK

    Patrick Olivier

  5. National Central University, Jhongli City, Taiwan

    Timothy K. Shih

  6. Digital Imaging Research Centre, Kingston University, KT1 2EE, London, Kingston-Upon-Thames, UK

    Sergio Velastin

  7. Centre for Image Analysis, Uppsala University, Uppsala, Sweden

    Ingela Nyström

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© 2011 Springer-Verlag Berlin Heidelberg

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Roohullah, Jaafar, J. (2011). Exploiting the Query Expansion through Knowledgebases for Images. In: Zaman, H.B., et al. Visual Informatics: Sustaining Research and Innovations. IVIC 2011. Lecture Notes in Computer Science, vol 7067. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25200-6_10

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  • DOI: https://doi.org/10.1007/978-3-642-25200-6_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-25199-3

  • Online ISBN: 978-3-642-25200-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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