期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2018
卷号：6
期号：6
页码：6278-6281
DOI：10.15680/IJIRCCE.2018.0606026
出版社：S&S Publications
摘要：Due to continuous improvement in data storage and image acquisition technologies, large number of
image datasets are been developed. Due to which needs are increasing day by day to improve the retrieval quality of the
systems. There are mostly two approach to deal with image dataset. One is Text based image retrieval and other is
content based image retrieval (CBIR). The goal is to support image retrieval based on content properties (e.g., shape,
color, texture), usually encoded into feature vectors. One of the main advantages of the CBIR approach is the
possibility of an automatic retrieval process, instead of the traditional keyword-based approach, which usually requires
very laborious and time-consuming previous annotation of database images. The CBIR technology has been used in
several applications such as fingerprint identification, biodiversity information systems, digital libraries, crime
prevention, medicine, historical research, among others.
