DocumentCode
1127669
Title
A Fine Rate Control Algorithm With Adaptive Rounding Offsets (ARO)
Author
Xu, Qian ; Lu, Xiaoan ; Liu, Yali ; Gomila, Cristina
Author_Institution
Thomson Corp. Res., Princeton, NJ, USA
Volume
19
Issue
10
fYear
2009
Firstpage
1424
Lastpage
1435
Abstract
Rate control plays an important role in regulating the bit rate to meet the bandwidth and storage requirement. Most existing video encoders regulate the bit rate by adjusting the quantization step size. We propose to incorporate a new dimension: the quantization rounding offset into rate control. In this paper, we present a rate control algorithm with adaptive rounding offsets (ARO) that jointly adjusts the quantization step size and the rounding offset for high bit rate accuracy. Different from the quantization step size that has a limited number of choices, the rounding offset is a continuously adjustable variable that allows the rate control algorithm to reach any precision in principle. Our extensive experimental results show that the proposed ARO algorithm significantly improves the rate control accuracy at almost no extra computational complexity. Compared with the rho-domain rate control, the ARO algorithm reduces the rate control errors from about 2% to 0.5% for INTRA frames, and 5% to 1.5% for INTER frames. Our experiments also demonstrate that ARO provides the extra benefit of smoother visual quality.
Keywords
bandwidth allocation; computational complexity; quantisation (signal); video coding; ARO; adaptive rounding offset; bandwidth requirement; bit rate control algorithm; computational complexity; quantization step size adjustment; storage requirement; video encoder; H.264/AVC; quantization; rate control; rounding offset; video coding;
fLanguage
English
Journal_Title
Circuits and Systems for Video Technology, IEEE Transactions on
Publisher
ieee
ISSN
1051-8215
Type
jour
DOI
10.1109/TCSVT.2009.2026808
Filename
5159404
Link To Document