Universiti Teknologi Malaysia Institutional Repository

Approaches, challenges and future direction of image retrieval

Hui, Hui Wang and Mohamad, Dzulkifli and Ismail, Nor Azman (2010) Approaches, challenges and future direction of image retrieval. Journal of Computing, 2 (6). pp. 193-199. ISSN 2151-9617

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Official URL: https://arxiv.org/abs/1006.4568


This paper attempts to discuss the evolution of the retrieval approaches focusing on development, challenges and future direction of the image retrieval. It highlights both the already addressed and outstanding issues. The explosive growth of image data leads to the need of research and development of Image Retrieval. However, 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. Hence, introducing an interpretation inconsistency between image descriptors and high level semantics that known as the semantic gap. This paper also discusses the semantic gap issues, user query mechanisms as well as common ways used to bridge the gap in image retrieval.

Item Type:Article
Uncontrolled Keywords:image retrieval, semantic based image retrieval, semantic gap
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:37093
Deposited On:31 Mar 2014 09:55
Last Modified:13 Mar 2017 11:33

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