文章基本信息

标题：Text-based, Content-based, and Semantic-based Image Retrievals: A Survey
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作者：Mohammed Alkhawlani ; Mohammed Elmogy ; Hazem El Bakry 等
期刊名称：International Journal of Computer and Information Technology
印刷版ISSN：2279-0764
出版年度：2015
卷号：4
期号：1
出版社：International Journal of Computer and Information Technology
摘要：Image retrieval from databases or from the Internet needs an efficient and effective technique due to the explosive growth of digital images. Image retrieval is considered as an area of extensive research, especially in content based image retrieval (CBIR). CBIR retrieves similar images from large image database based on image features, which has been a very active research area recently. The content, that can be derived from image such as color, texture, shape…etc., are called features. This paper will present a survey and discuss the current literature of different types of image retrieval (IR) systems. An overview of the important techniques in image retrieval will be discussed. Finally, some urgent challenges in IR, that have been raised recently, will be presented as well as possible directions for future research.
关键词：Content-based image retrieval; Text-based image retrieval; Semantic-based image retrieval;Automatic Image Annotation.