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Research Article Open Access

Towards Semantic User Query: A Review

Hui-Hui Wang1, Yin-Chai Wang1 and Soo-See Chai1
  • 1 Universiti Malaysia Sarawak, Malaysia

Abstract

This paper attempts to discuss the image query mechanisms and user needs for image retrieval. The explosive growth of image data leads to the need of research and development of Image retrieval. Image retrieval researches are moving from keyword, to low level features and to semantic features. Drive towards semantic features is due to the problem of the keywords which can be very subjective and time consuming while low level features cannot always describe high level concepts in the users' mind. This paper also highlights both the already addressed and outstanding issues.

Journal of Computer Science
Volume 11 No. 10, 2015, 1017-1024

DOI: https://doi.org/10.3844/jcssp.2015.1017.1024

Submitted On: 27 August 2015 Published On: 4 January 2016

How to Cite: Wang, H., Wang, Y. & Chai, S. (2015). Towards Semantic User Query: A Review. Journal of Computer Science, 11(10), 1017-1024. https://doi.org/10.3844/jcssp.2015.1017.1024

Open AccessCopyright: © 2015 Hui-Hui Wang, Yin-Chai Wang and Soo-See Chai. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

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Keywords

  • Image Retrieval
  • Semantic Gap
  • Semantic Based Image Retrieval