By Topic

A Maximum Likelihood Approach to Video Error Correction Applied to H.264 Decoding

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

2 Author(s)
Caron, F. ; Dept. of Software & IT Eng., Univ. du Quebec, Montreal, QC, Canada ; Coulombe, S.

In real-time video applications, where unreliable networks are commonplace, corrupted video packets can adversely affect visual quality. In this paper, we present a novel maximum likelihood approach to performing video error correction. Rather than discarding corrupted video packets, the method estimates the likeliest syntactically valid video slice content based on these packets. First, we present the mathematical foundations that enable solution of the problem at the slice level. Then, we present a simplified solution operating at the syntax element level. The method's performance is evaluated using the H.264 baseline profile. Unlike error concealment methods, we correct the errors in the bit stream, instead of reconstructing missing pixels. Simulation results show that the method yields improved visual quality. Furthermore, the proposed approach is computationally simpler than state-of-the-art error concealment methods.

Published in:

Next Generation Mobile Applications, Services and Technologies (NGMAST), 2012 6th International Conference on

Date of Conference:

12-14 Sept. 2012