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A Comparative Study on Image Retrieval Systems

  • Chee Sheen Chan
  • Jer Lang Hong
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8228)

Abstract

Search Engines such as Google is capable of processing user queries in a fast and efficient way. Though they are proven to be reliable, they are still incapable of handling complex queries. For example, Image Search Engines generally suffer from low accuracy when handling complex queries due to the lack of information available in an image. This paper presents the various image retrieval systems available currently, with in depth discussions on their operation and drawbacks. We also demonstrated the potential of using ontological technique in image retrieval systems, which has shown promising results in many research domains.

Keywords

Human-Centred Design Webpage Segmentation Image Indexing Search Engines 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Chee Sheen Chan
    • 1
  • Jer Lang Hong
    • 1
  1. 1.School of Computing and ITTaylor’s UniversityMalaysia

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