Towards semantic user query: A review

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. Dri...

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Main Authors: Hui-Hui, Wang, Yin-Chai, Wang, Soo-See, Chai
Format: Article
Language:English
Published: Science Publications 2015
Subjects:
Online Access:http://ir.unimas.my/id/eprint/12101/1/No%2037%20%28abstrak%29.pdf
http://ir.unimas.my/id/eprint/12101/
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spelling my.unimas.ir.121012022-09-29T06:19:29Z http://ir.unimas.my/id/eprint/12101/ Towards semantic user query: A review Hui-Hui, Wang Yin-Chai, Wang Soo-See, Chai T Technology (General) 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. Science Publications 2015 Article PeerReviewed text en http://ir.unimas.my/id/eprint/12101/1/No%2037%20%28abstrak%29.pdf 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 http://www.scopus.com/inward/record.url?eid=2-s2.0-84954220681&partnerID=40&md5=aa3e35127f2d2ad8e43153c8b9945f81 10.3844/jcssp.2015.1017.1024
institution Universiti Malaysia Sarawak
building Centre for Academic Information Services (CAIS)
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Sarawak
content_source UNIMAS Institutional Repository
url_provider http://ir.unimas.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Hui-Hui, Wang
Yin-Chai, Wang
Soo-See, Chai
Towards semantic user query: A review
description 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.
format Article
author Hui-Hui, Wang
Yin-Chai, Wang
Soo-See, Chai
author_facet Hui-Hui, Wang
Yin-Chai, Wang
Soo-See, Chai
author_sort Hui-Hui, Wang
title Towards semantic user query: A review
title_short Towards semantic user query: A review
title_full Towards semantic user query: A review
title_fullStr Towards semantic user query: A review
title_full_unstemmed Towards semantic user query: A review
title_sort towards semantic user query: a review
publisher Science Publications
publishDate 2015
url http://ir.unimas.my/id/eprint/12101/1/No%2037%20%28abstrak%29.pdf
http://ir.unimas.my/id/eprint/12101/
http://www.scopus.com/inward/record.url?eid=2-s2.0-84954220681&partnerID=40&md5=aa3e35127f2d2ad8e43153c8b9945f81
_version_ 1745566030269251584
score 13.211869