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

@article{Kannangara2006LowcomplexitySP,
  title={Low-complexity skip prediction for H.264 through Lagrangian cost estimation},
  author={C. Sampath Kannangara and Iain E. Garden Richardson and Maja Bystrom and J. R. Solera and Yafan Zhao and A. MacLennan and R. Cooney},
  journal={IEEE Transactions on Circuits and Systems for Video Technology},
  year={2006},
  volume={16},
  pages={202-208}
}
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… CONTINUE READING
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