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International Conference on Mobile Web and Information Systems

MobiWIS 2016: Mobile Web and Intelligent Information Systems pp 108–120Cite as

Fuzzy Ontology Based Model for Image Retrieval

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 9847))

Abstract

Immense increase in digital images demands an efficient and accurate image retrieval system. In text based image retrieval, images are annotated with keywords based on human perception. On the other hand, keywords are included in a user query based on his/her requirements. Query keywords are matched with the annotated keywords for image retrieval. This process has been extended with ontology to resolve semantic heterogeneities. However, crisp annotation and querying processes could not produce the desired results because both involve human perception. To overcome this problem, we have proposed a fuzzy ontology based retrieval system that makes use of ontology for improving retrieval performance. For modeling the semantic description of image, it is divided into regions and regions are classified into concepts. The concepts are combined into categories. The concepts, categories and images are linked among themselves with fuzzy values in ontology. Retrieved results are ranked based on the relevancy between the keywords of a query and images. Experimental results show that the proposed system performs comparatively better than the existing systems in terms of retrieval performance.

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Author information

Authors and Affiliations

  1. School of Electrical Engineering and Computer Science, National University of Sciences and Technology, Islamabad, Pakistan

    Madiha Liaqat & Sharifullah Khan

  2. Department of Computer Engineering, University of Engineering and Technology, Taxila, Pakistan

    Muhammad Majid

Authors
  1. Madiha Liaqat
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  2. Sharifullah Khan
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  3. Muhammad Majid
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Corresponding author

Correspondence to Madiha Liaqat .

Editor information

Editors and Affiliations

  1. Oxford Brookes University, Oxford, United Kingdom

    Muhammad Younas

  2. University of Bradford, Bradford, United Kingdom

    Irfan Awan

  3. University of Vienna, Vienna, Austria

    Natalia Kryvinska

  4. University of Vienna, Vienna, Austria

    Christine Strauss

  5. Telenor R&D, Fornebu, Norway

    Do van Thanh

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© 2016 Springer International Publishing Switzerland

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Liaqat, M., Khan, S., Majid, M. (2016). Fuzzy Ontology Based Model for Image Retrieval. In: Younas, M., Awan, I., Kryvinska, N., Strauss, C., Thanh, D. (eds) Mobile Web and Intelligent Information Systems. MobiWIS 2016. Lecture Notes in Computer Science(), vol 9847. Springer, Cham. https://doi.org/10.1007/978-3-319-44215-0_9

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  • DOI: https://doi.org/10.1007/978-3-319-44215-0_9

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-44214-3

  • Online ISBN: 978-3-319-44215-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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