A REVIEW ON SEARCH BASED FACE ANNOTATION USING WEAKLY LABELED FACIAL IMAGES

Authors

  • Dhokchaule Sagar Computer Department, Shri Chhatrapati Shivaji College of Engineering,Rahuri Factory,Ahmednagar,MH,India.
  • Patare Swati Computer Department, Shri Chhatrapati Shivaji College of Engineering,Rahuri Factory,Ahmednagar,MH,India.
  • Makahre Priyanka Computer Department, Shri Chhatrapati Shivaji College of Engineering,Rahuri Factory,Ahmednagar,MH,India.
  • Prof.Borude Krishna Computer Department, Shri Chhatrapati Shivaji College of Engineering,Rahuri Factory,Ahmednagar,MH,India.

Keywords:

Face annotation, content-based image retrieval, machine learning,, label refinement,

Abstract

This paper investigates framework of face annotation by mining weakly labeledfacial images which are freely or easily available on World Wide Web (WWW). The challenging part of search based face annotation task ismanagement of most similar facial images and their weak labels. To tackle this problem, we propose an unsupervised label refinement (ULR) technic for refining the labels of web facial images using machine learning techniques. Auto face annotation can be beneficial to many real world applications like Facebook. The main aim of image annotation process is to automatically assign associate label to images, so image retrieving users are able to query images by labels and automatically detect human faces from a photo image and further name the faces with the corresponding human names.

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Published

2021-03-27

Issue

2015: ICITDCEME

Section

Articles

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