Abstract
In Chapters 4 and 5, nonlinear predictive rate control techniques were examined. They appeared to be effective in terms of the stability in video rate without objectionable PSNR degradation. In order to search for other effective techniques, in this chapter, fuzzy logic control is applied, which is known to outperform conventional linear control techniques in feedback control Kosko, 1992. It is also known to be effective in conveying heuristic judgement of humans, which means introducing the meaning of linguistic decisions on system status to the target system Lee, 1990. A series of conventional fuzzy logic control algorithms were applied to the CBR MPEG-2 video coding. Furthermore, adaptive and supervisory fuzzy logic control schemes have also been applied and their performance has been evaluated.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1999 Springer Science+Business Media New York
About this chapter
Cite this chapter
Saw, YS. (1999). Fuzzy Logic-Based Video Rate Estimation and Control. In: Rate-Quality Optimized Video Coding. The Springer International Series in Engineering and Computer Science, vol 486. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-5125-6_6
Download citation
DOI: https://doi.org/10.1007/978-1-4615-5125-6_6
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-7332-2
Online ISBN: 978-1-4615-5125-6
eBook Packages: Springer Book Archive