Region Based Semantic Image Retrieval Using Ontology

  • Morarjee KollaEmail author
  • T. Venu Gopal
Conference paper
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 5)


Extracting Semantic images from the large amount of heterogeneous image data is a quiet challenge in Content Based Image Retrieval (CBIR). Search space and Semantic gap reduction are two major issues in extracting semantic images. The proposed method of Region based semantic image retrieval considers both Search space and Semantic gap reduction. The proposed methodology first does the region based clustering as it reduces retrieval search space. Later it reduces the semantic gap with the support of ontology framework. The ontology framework shares the information among image seekers and domains. Our experimental results reveal the efficacy of the proposed method.


CBIR Ontology Search space Semantic gap Semantic image retrieval 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2017

Authors and Affiliations

  1. 1.CMR Institute of TechnologyHyderabadIndia
  2. 2.JNTUH College of Engineering SultanpurSultanpurIndia

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