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：2014
卷号：2
期号：7
出版社：S&S Publications
摘要：Face recognition presents a challenging problem in the field of image analysis and computer vision, andit has received a great deal of attention over the last few years because of its applications in various domains. Miningweb facial images on the internet has emerged as a promising paradigm towards auto face annotation. Content-basedimage retrieval (CBIR) systems require users to query images by their low-level visual content. This not only makes ithard for users to formulate queries, but also can lead to unsatisfied retrieval results. Because of this, Image annotationis introduced. The aim of image annotation is to automatically assign keywords to images, so image retrieval users areable to query images by Keywords and automatically detect human faces from a photo image and further name thefaces with the corresponding human names. This paper also focuses on some of the earlier work on face annotation.
关键词：Face annotation; face recognition; SBFA; Text based search.
