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Research Journal of Engineering and Technology
Year : 2016, Volume : 7, Issue : 2
First page : ( 56) Last page : ( 58)
Print ISSN : 0976-2973. Online ISSN : 2321-581X.
Article DOI : 10.5958/2321-581X.2016.00012.X

Mining Weakly Labelled by Search-Based Face Annotation

Mr. Rai Anuj1,*, Prof. Singh Piyush2

1M. Tech. Student at, RKDF Institute of Science and Technology, Bhopal, Madhya Pradesh, India

2Assistant Professor at, RKDF Institute of Science and Technology, Bhopal, Madhya Pradesh, India>

*Corresponding Author Email: anujrai31@gmail.com

Online published on 18 October, 2016.

Abstract

A face annotation has many applications the main part of based face annotation is to management of most same acial images and their weak data labels. This problem, different method is adopted. The efficiency of annotating systems are improved by using these methods. This paper proposes a review on various techniques used for detection and analysis of each technique. Combine techniques are used in retrieving facial images based on query. So it is effective to label the images with their exact names. The detected face recognition techniques can annotate the faces with exact data labels which will help to improve the detection more efficiently. For a set of semantically similar images Annotations from them. Then content-based search is performed on this set to retrieve visually similar images, annotations are mined from the data descriptions.

The method is to find the face data association in images with data label. Specifically, the task of face-name association should obey the constraint face can be a data appearing in its associated a name can be given to at most one face and a face can be assigned to one name. Many methods have proposed to used this while suffering from some common

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