International Journal of Emerging Trends & Technology in Computer Science
A Motivation for Recent Innovation & Research
ISSN 2278-6856
www.ijettcs.org

Call for Paper, Published Articles, Indexing Infromation Review on Label Refinement of Web Facial Images, Authors : Mayuri M. Ejgar, Sonali P. Dhawan , Jalindar N. Ekatpure, Pooja R. Kadam , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), www.ijettcs.org
Volume & Issue no: Volume 3, Issue 6, November - December 2014

Title:
Review on Label Refinement of Web Facial Images
Author Name:
Mayuri M. Ejgar, Sonali P. Dhawan , Jalindar N. Ekatpure, Pooja R. Kadam
Abstract:
Abstract Face annotation means giving the name to the image which is in the photograph. Auto face annotation is playing urgent role in many real world applications such as real world management systems and multimedia information. In real word applications like Facebook/Google plus/Orcut number of pictures gets imparted. A few pictures are appropriately marked however some of them are not properly labeled. So there is a need of proper labeling of images having noisy labels. If the images are properly labeled then it will help in improving the results of web search engines also in recognizing the person in news videos and giving the proper names/labels to the images. Auto face annotation can be gainful to a lot of people true applications. Face recognition and distinguished as of late research engages in mining weekly marked facial pictures on the web to determination examination challenge in machine vision and picture understanding. This paper gives different strategies or techniques that are utilization to clarifying facial pictures. Keywords:- weakly labeled images, automatic labeling, face recognition, content based image retrieval, machine learning. Label refinement, search based face annotation.
Cite this article:
Mayuri M. Ejgar, Sonali P. Dhawan , Jalindar N. Ekatpure, Pooja R. Kadam , " Review on Label Refinement of Web Facial Images " , International Journal of Emerging Trends & Technology in Computer Science (IJETTCS), Volume 3, Issue 6, November - December 2014 , pp. 296-299 , ISSN 2278-6856.
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