TY - GEN
T1 - Hardware friendly background analysis based complexity reduction in H.264/AVC multiple reference frames motion estimation
AU - Huang, Yiqing
AU - Liu, Zhenyu
AU - Goto, Satosh
AU - Ikenaga, Takeshi
PY - 2007/1/1
Y1 - 2007/1/1
N2 - In H.264 standard, multiple reference frame motion estimation (MRF-ME) can help to generate small residues and improve the performance. However, MRF-ME is also a computation intensive task for video coding system. Many software oriented fast algorithms have been proposed to shorten MRF-ME process. For hardwired real-time encoder, the division of ME part into two pipeline stages degrades the efficiency of many fast algorithms. This paper gives one hardware friendly MRF-ME algorithm to reduce computation complexity in MRF-ME procedure. The proposed algorithm is based on the analysis of macroblock's (MB's) feature and restricts search range for static background MB. Through experiment results, with negligible video quality degradation, the proposed background analysis based MRF-ME algorithm can averagely reduce 41.75% ME time for sequences with static background. Moreover, the proposed algorithm is compatible to other fast algorithms and friendly to hardware implementation of H.264 real-time encoder.
AB - In H.264 standard, multiple reference frame motion estimation (MRF-ME) can help to generate small residues and improve the performance. However, MRF-ME is also a computation intensive task for video coding system. Many software oriented fast algorithms have been proposed to shorten MRF-ME process. For hardwired real-time encoder, the division of ME part into two pipeline stages degrades the efficiency of many fast algorithms. This paper gives one hardware friendly MRF-ME algorithm to reduce computation complexity in MRF-ME procedure. The proposed algorithm is based on the analysis of macroblock's (MB's) feature and restricts search range for static background MB. Through experiment results, with negligible video quality degradation, the proposed background analysis based MRF-ME algorithm can averagely reduce 41.75% ME time for sequences with static background. Moreover, the proposed algorithm is compatible to other fast algorithms and friendly to hardware implementation of H.264 real-time encoder.
KW - Background analysis
KW - H.264
KW - MRF-ME
UR - http://www.scopus.com/inward/record.url?scp=43749099600&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=43749099600&partnerID=8YFLogxK
U2 - 10.1109/ISPACS.2007.4445957
DO - 10.1109/ISPACS.2007.4445957
M3 - Conference contribution
AN - SCOPUS:43749099600
SN - 9781424414475
T3 - 2007 International Symposium on Intelligent Signal Processing and Communications Systems, ISPACS 2007 - Proceedings
SP - 594
EP - 597
BT - 2007 International Symposium on Intelligent Signal Processing and Communications Systems, ISPACS 2007 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2007 International Symposium on Intelligent Signal Processing and Communications Systems, ISPACS 2007
Y2 - 28 November 2007 through 1 December 2007
ER -