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

HMM-Based Approach for Text Region Detection in Coded Video Bitstreams

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)
Nakano, Y. ; Dept. of Inf. Sci., Fukui Univ. ; Kashio, K. ; Yoshida, T.

This paper proposes a novel text region detection technique based on a hidden Markov model (HMM) for MPEG-encoded bitstreams. Although enormous number of techniques have been proposed for a detection or a localization of text regions, an HMM-based approach has not been proposed as far as the authors know. First, two kind of feature value, i.e., prediction-mode-based and bit-amount-based ones, are extracted as temporal sequences from a target MPEG bitstream, which are then combined together to be fed into an HMM. Frames containing text regions in the bitstream can be detected directly from the state transition sequence by the HMM. Experimental results have demonstrated that the proposed technique achieves a precision of 92% and a recall of 75%

Published in:

Image Processing, 2006 IEEE International Conference on

Date of Conference:

8-11 Oct. 2006

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.