TY - GEN
T1 - Low complexity MAD prediction algorithms for rate controllable H.264/AVC hardware encoders
AU - Chang, Li Chuan
AU - Kuo, Chih Hung
AU - Liu, Bin Da
PY - 2010/8/31
Y1 - 2010/8/31
N2 - This paper presents two low complexity macroblock-level MAD (Mean Absolute Difference) prediction algorithms for H.264/AVC rate control. Both of the algorithms consider the rate-distortion performance and its hardware cost jointly. One of the algorithms predicts the MAD value by observing the motion vector of the surrounding macroblocks (MB), the other one uses numerical analysis to find the best fit weighting factors for the MAD value. These algorithms do not suffer from the MB-pipeline problems which decrease the rate-distortion performance, thus they are suitable for H.264/AVC hardware encoders. Experimental results show that the proposed MAD prediction algorithm can further improve the rate-distortion performance for the rate control scheme. Compared with the JVT-G012 rate control scheme, our algorithms can increase the PSNR to 0.38 dB and 0.35 dB, respectively.
AB - This paper presents two low complexity macroblock-level MAD (Mean Absolute Difference) prediction algorithms for H.264/AVC rate control. Both of the algorithms consider the rate-distortion performance and its hardware cost jointly. One of the algorithms predicts the MAD value by observing the motion vector of the surrounding macroblocks (MB), the other one uses numerical analysis to find the best fit weighting factors for the MAD value. These algorithms do not suffer from the MB-pipeline problems which decrease the rate-distortion performance, thus they are suitable for H.264/AVC hardware encoders. Experimental results show that the proposed MAD prediction algorithm can further improve the rate-distortion performance for the rate control scheme. Compared with the JVT-G012 rate control scheme, our algorithms can increase the PSNR to 0.38 dB and 0.35 dB, respectively.
UR - http://www.scopus.com/inward/record.url?scp=77955987537&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=77955987537&partnerID=8YFLogxK
U2 - 10.1109/ISCAS.2010.5537501
DO - 10.1109/ISCAS.2010.5537501
M3 - Conference contribution
AN - SCOPUS:77955987537
SN - 9781424453085
T3 - ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems
SP - 661
EP - 664
BT - ISCAS 2010 - 2010 IEEE International Symposium on Circuits and Systems
T2 - 2010 IEEE International Symposium on Circuits and Systems: Nano-Bio Circuit Fabrics and Systems, ISCAS 2010
Y2 - 30 May 2010 through 2 June 2010
ER -