Scheduled System Maintenance:
Some services will be unavailable Sunday, March 29th through Monday, March 30th. We apologize for the inconvenience.
By Topic

Fast mode decision algorithm for enhancement layer of spatial and CGS scalable video coding

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)
Yuan Chun ; Shenzhen Graduate School of Tsinghua University, 518055, China ; Fan Min ; Zhang Yan

The scalable video coding is an effective solution to fulfil the different requirements in modern video transmission system. Though the coding efficiency is high, the computational complexity is expensive. This paper presents a proposed algorithm to reduce the encoding time of enhancement layer through probability analysis. Firstly two classes are defined, and the Bayes Classifier decides whether the current macroblock belongs to Big Block class or Small Block class. Then an early termination strategy is checked for ignoring some inter modes. When inter-layer residual prediction is used, the optimal inter mode is set as the best inter mode of co-located macroblock in base layer. For the intra modes, the INTRA_16×16 is skipped based on statistical data. Experiment results show that the proposed algorithm reduces computational complexity with negligible video quality loss and bit rate increment when compared with reference software and other methods.

Published in:

Multimedia and Expo (ICME), 2011 IEEE International Conference on

Date of Conference:

11-15 July 2011