Towards Semantic User Query: A Review
Hui-Hui Wang1, Yin-Chai Wang1 & Soo-See Chai1 Show affiliations
- Universiti Malaysia Sarawak, Malaysia
Journal of Computer Science, Volume 11, Issue 10, pp. 1017–1024 · doi.org/10.3844/jcssp.2015.1017.1024
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.
Licence and reuse
Open access. This article is licensed under a Creative Commons Attribution 3.0 Licence (CC BY 3.0), as printed on the article, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original authors and the source. No permission is needed.
How to reuse this articleResponses (0)
About this article
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
- Licence
- CC BY 3.0
- Issue
- Volume 11, Issue 10
- Policies
- Editorial independenceUse of generative AIData availabilityAppeals and complaints
- Version
- Version of record
