TY - GEN
T1 - A bit rate control adaptive optimization algorithm for H.264/AVC
AU - Chen, Bing Quan
AU - Liu, Da Wei
AU - Lei, Li
AU - Liu, Hong Li
PY - 2013
Y1 - 2013
N2 - Existing bit rate control methods for image sequence are not user friendly because finding a suitable quantization parameter is difficult. In addition, these methods commonly make use of a linear prediction model for time correlation, which may not be accurate in practice. In this paper we present a new algorithm for bit rate control. It starts with preprocessing step which analyzes the quantization parameters before coding image sequence. It also takes into consideration the characteristics of the image sequence Experimental results show that: the presented algorithm can accurately control the bit rate and significantly increase the peak signal to noise ratio value for a given image.
AB - Existing bit rate control methods for image sequence are not user friendly because finding a suitable quantization parameter is difficult. In addition, these methods commonly make use of a linear prediction model for time correlation, which may not be accurate in practice. In this paper we present a new algorithm for bit rate control. It starts with preprocessing step which analyzes the quantization parameters before coding image sequence. It also takes into consideration the characteristics of the image sequence Experimental results show that: the presented algorithm can accurately control the bit rate and significantly increase the peak signal to noise ratio value for a given image.
KW - Linear prediction model
KW - Scanning characteristics
KW - The complexity of image
KW - The quantization parameter of i frame
UR - http://www.scopus.com/inward/record.url?scp=84884750415&partnerID=8YFLogxK
U2 - 10.4028/www.scientific.net/AMM.385-386.1718
DO - 10.4028/www.scientific.net/AMM.385-386.1718
M3 - Conference Proceeding
AN - SCOPUS:84884750415
SN - 9783037858103
T3 - Applied Mechanics and Materials
SP - 1718
EP - 1721
BT - Applied Scientific Research and Engineering Developments for Industry
T2 - 2013 International Conference on Mechanical and Electronics Engineering, ICMEE 2013
Y2 - 17 August 2013 through 18 August 2013
ER -