抽象的な

An Overview on Facial Image Annotation

A.Nithya, K.Haridas

Face recognition presents a challenging problem in the field of image analysis and computer vision, and it has received a great deal of attention over the last few years because of its applications in various domains. Mining web facial images on the internet has emerged as a promising paradigm towards auto face annotation. Content-based image retrieval (CBIR) systems require users to query images by their low-level visual content. This not only makes it hard for users to formulate queries, but also can lead to unsatisfied retrieval results. Because of this, Image annotation is introduced. The aim of image annotation is to automatically assign keywords to images, so image retrieval users are able to query images by Keywords and automatically detect human faces from a photo image and further name the faces with the corresponding human names. This paper also focuses on some of the earlier work on face annotation.