DocumentCode
1416367
Title
Quality-optimised MPEG2 video data rate control using fuzzy logic techniques
Author
Saw, Y.-S. ; Grant, P.M. ; Hannah, J.M.
Author_Institution
R&D Centre, Next Generation Telecomms, Kyunggi, South Korea
Volume
145
Issue
3
fYear
1998
fDate
6/1/1998 12:00:00 AM
Firstpage
179
Lastpage
186
Abstract
Fuzzy logic control has been employed to improve the rate control mechanism for a MPEG2 video encoder. The data rate of compressed video is controlled by video encoders for either variable bit rate (VBR) or constant bit rate (CBR) applications. In VBR video transmission, it is considered to be more efficient to regulate the video rate by the video coder than by network management in order to avoid network congestion and maintain stable video quality. This rationale can also be applied to CBR transmission. Two fuzzy-logic-based rate control techniques are proposed which maintain the buffer occupancy within a specified range. In the proposed technique for VBR applications, a video quality measure is taken as the crucial control parameter. In CBR rate control, the video data rate or the buffer occupancy is also considered as a fuzzy logic variable. Proposed techniques are designed to control either data rate or video quality, depending on the mode of transmission, i.e. CBR or VBR for the MPEG2 encoder. The performance is compared to a typical VBR MPEG video coder with fixed quantiser step sizes for VBR and also to the CBR video coder with MPEG2 TM5 at typical channel rates. Simulation results are presented with peak signal-to-noise ratio, data rate variation and buffer occupancy as the performance measures
Keywords
data compression; fuzzy control; fuzzy logic; video coding; visual communication; CBR video transmission; MPEG-2 video data rate control; MPEG-2 video encoder; VBR video transmission; buffer occupancy; constant bit rate; control parameter; data rate variation; fuzzy logic control; peak signal-to-noise ratio; performance measures; simulation results; stable video quality; variable bit rate; video compression; video quality measure;
fLanguage
English
Journal_Title
Vision, Image and Signal Processing, IEE Proceedings -
Publisher
iet
ISSN
1350-245X
Type
jour
DOI
10.1049/ip-vis:19981735
Filename
707561
Link To Document