文章基本信息

标题：Approaches, Challenges and Future Direction of Image Retrieval
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作者：Hui Hui Wang ; Dzulkifli Mohamad ; N. A. Ismail 等
期刊名称：Journal of Computing
电子版ISSN：2151-9617
出版年度：2010
卷号：2
期号：6
出版社：Journal of Computing
摘要：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