期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2014
卷号：3
期号：2
页码：449-453
出版社：Shri Pannalal Research Institute of Technolgy
摘要：The advance of computing technologies leads to growth of images in internet and personal databases. To obtain a required image is a challengeable task. For the last two decades large number of researches focusing on image retrieval with CBIR techniques.CBIR system does not allow the users to query images by using semantic meanings. It will automatically extracted by image processing techniques. Semantic gap exists between image low level features and high level features in this content based image retrieval. To bridge this semantic gap AIA technique has been used. Machine learning techniques used to develop automatic image annotation systems. Retrieval of image can be done by using keywords to the images and image is annotated by semantic keywords. In this paper we focus on survey of image retrieval techniques, including of various key aspect of AIA, both feature extraction and semantic learning methods. Finally we report our findings and provide future research directions in the AIA area in the conclusions
