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

Fast H.264 inter-prediction mode decision based on macroblock Inner Complexity

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)
Luo Yin ; Dept. of Software, Univ. of Electron. Sci. & Technol. of China, Chengdu, China ; Fu Yan

The H.264 standard achieves much higher coding efficiency than the MPEG-4 standard, due to its improved inter-and intra-prediction modes at the expense of higher computational complexity. Motion estimation is allowed to use seven kinds of block sizes to improve the rate-distortion performance. This new feature has achieved significant coding gain compared to coding a macroblock using fixed block size. However, motion estimation is computational intensive with complexity increasing linearly to the number of allowed block sizes. In order to reduce the complexity, a fast inter-prediction mode decision with macroblock Inner Complexity is proposed in this paper. The analysis results show that the speed improvement of our proposed algorithm over the primitive algorithm is about 10% to 24% times but with little quality degradation.

Published in:

Intelligent System and Knowledge Engineering, 2008. ISKE 2008. 3rd International Conference on  (Volume:1 )

Date of Conference:

17-19 Nov. 2008

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.