Towards semantic user query: A review

Hui-Hui, Wang and Yin-Chai, Wang and Soo-See, Chai (2015) Towards semantic user query: A review. Journal of Computer Science, 11 (10). pp. 1017-1024. ISSN 15493636

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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.

Item Type: Article
Additional Information: Information, Communication and Creative Technology
Uncontrolled Keywords: image Retrieval, Semantic Gap, Semantic Based Image Retrieval, unimas, university, universiti, Borneo, Malaysia, Sarawak, Kuching, Samarahan, ipta, education, research, Universiti Malaysia Sarawak
Subjects: T Technology > T Technology (General)
Divisions: Academic Faculties, Institutes and Centres > Faculty of Computer Science and Information Technology
Depositing User: Saman
Date Deposited: 20 May 2016 01:50
Last Modified: 29 Sep 2022 06:19

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