期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2016
卷号：5
期号：4
页码：1048-1051
出版社：Shri Pannalal Research Institute of Technolgy
摘要：As the network and development of multimedia technologies are becoming more popular, users are not satisfied with the traditional information retrieval techniques. So nowadays the content based image retrieval is becoming a source of exact and fast retrieval. With significantly huge image database it is difficult to mine that data and retrieve relevant images. Feature Based Image Retrieval is a very important research area in the field of image processing. This paper provides the survey of technical achievements in the research area of image retrieval. In this paper, a survey is done on the different methods of content based image retrieval for the classification of texture and color. For the classification of the extracted features we have used SVM. Classification using cascaded SVM is also used here for solving large-scale pattern classification problems. Cascaded SVM has advantages over conventional SVM.
