Low-complexity skip prediction for H.264 through Lagrangian cost estimation Export

@article{citeulike:3857573, abstract = {A complexity reduction algorithm for an H.264 encoder is proposed. Computational savings are achieved by identifying, prior to motion estimation, macroblocks (MBs) that are likely to be skipped and hence saving further computational processing of these MBs. This early prediction is made by estimating a Lagrangian rate-distortion cost function which incorporates an adaptive model for the Lagrange multiplier parameter based on local sequence statistics. Simulation results demonstrate that the algorithm can achieve computational savings of 19\%-67\% (depending on the source sequence) with no significant loss of rate-distortion performance.}, author = {Kannangara, C. S. and Richardson, I. E. G. and Bystrom, M. and Solera, J. R. and Zhao, Yafan and Maclennan, A. and Cooney, R.}, booktitle = {Circuits and Systems for Video Technology, IEEE Transactions on}, citeulike-article-id = {3857573}, citeulike-linkout-0 = {http://dx.doi.org/http://dx.doi.org/10.1109/TCSVT.2005.859026}, citeulike-linkout-1 = {http://dx.doi.org/10.1109/TCSVT.2005.859026}, doi = {http://dx.doi.org/10.1109/TCSVT.2005.859026}, journal = {Circuits and Systems for Video Technology, IEEE Transactions on}, keywords = {coding, complexity, mypublications, video}, number = {2}, pages = {202--208}, posted-at = {2009-01-07 15:28:30}, priority = {2}, title = {Low-complexity skip prediction for H.264 through Lagrangian cost estimation}, url = {http://dx.doi.org/http://dx.doi.org/10.1109/TCSVT.2005.859026}, volume = {16}, year = {2006} }

TY - JOUR ID - citeulike:3857573 L3 - citeulike-article-id:3857573 N2 - A complexity reduction algorithm for an H.264 encoder is proposed. Computational savings are achieved by identifying, prior to motion estimation, macroblocks (MBs) that are likely to be skipped and hence saving further computational processing of these MBs. This early prediction is made by estimating a Lagrangian rate-distortion cost function which incorporates an adaptive model for the Lagrange multiplier parameter based on local sequence statistics. Simulation results demonstrate that the algorithm can achieve computational savings of 19%-67% (depending on the source sequence) with no significant loss of rate-distortion performance. IS - 2 JF - Circuits and Systems for Video Technology, IEEE Transactions on EP - 208 TI - Low-complexity skip prediction for H.264 through Lagrangian cost estimation VL - 16 T2 - Circuits and Systems for Video Technology, IEEE Transactions on SP - 202 KW - coding KW - complexity KW - mypublications KW - video AU - Kannangara, CS AU - Richardson, IEG AU - Bystrom, M AU - Solera, JR AU - Zhao, Yafan AU - Maclennan, A AU - Cooney, R PY - 2006/// UR - http://dx.doi.org/http://dx.doi.org/10.1109/TCSVT.2005.859026 ER -