Cart (Loading....) | Create Account
Close category search window
 

A hybrid approach to extract scene text from videos

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Thilagavathy, A. ; Dept. of Comput. Sci. & Eng., R.M.K Eng. Coll., Chennai, India ; Aarthi, K. ; Chilambuchelvan, A.

With escalating claim for information indexing and retrieval a lot of attempts have been done on hauling the text from images and videos. Hauling the scene text from image and video is challenging due to complex background, changeable font size, dissimilar style, unknown layout, poor resolution and blurring, position, viewing angle and so on. The primary objective of the proposed system is to detect and haul out the text from digital videos. Through this paper we propose a hybrid approach to haul out the text from videos by integration of the two popular text extraction methods: region and connected component (CC) based method. Primarily fragment the videos into frames and acquire the key frames. Text region indicator (TRI) is being developed to figure out the text prevailing confidence and candidate region by performing binarization. Artificial Neural network (ANN) is used as the classifier to filter out the text and non-text components where Optical Character Recognition (OCR) is used for verification. Text is grouped by constructing the minimum spanning tree using the bounding box (BB) distance.

Published in:

Computing, Electronics and Electrical Technologies (ICCEET), 2012 International Conference on

Date of Conference:

21-22 March 2012

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.