• DocumentCode
    2746106
  • Title

    A Context Centric Approach for Semantic Image Annotation and Retrieval

  • Author

    Elahi, Najeeb ; Karlsen, Randi ; Akselsen, Sigmund

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Tromso, Tromso, Norway
  • fYear
    2009
  • fDate
    15-20 Nov. 2009
  • Firstpage
    665
  • Lastpage
    668
  • Abstract
    In this preliminary research, we discuss techniques to improve the quality of image retrieval and image management with the help of context information over the Web. Our hypothesis is that leveraging the semantic annotated contextual metadata of the image would yield the relevant search results and facilitate building a consistent, unambiguous image knowledge base. Inferencing capability of semantic technology is very useful to deduce the new metadata from the existing metadata about images. We discuss the three different aspects of image context such as spatial, temporal and social context. Spatial and temporal context of the image can easily be gathered by taking advantage of modern digital camera technology. In order to acquire social contextual metadata, we benefit from social network sites.
  • Keywords
    content-based retrieval; image retrieval; semantic Web; social networking (online); content-based image retrieval; context centric approach; digital camera technology; image management; semantic Web; semantic image annotation; semantic image retrieval quality; semantic technology inferencing capability; social network sites; text-based image retrieval; unambiguous image knowledge base; Computer science; Content based retrieval; Content management; Context-aware services; Digital cameras; Image retrieval; Information retrieval; Quality management; Semantic Web; Social network services; context-aware; image retrieval; semantic web; social networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns, 2009. COMPUTATIONWORLD '09. Computation World:
  • Conference_Location
    Athens
  • Print_ISBN
    978-1-4244-5166-1
  • Electronic_ISBN
    978-0-7695-3862-4
  • Type

    conf

  • DOI
    10.1109/ComputationWorld.2009.30
  • Filename
    5358875