@inproceedings{ddafe0dd038d4501be665ef71a92d86c,
title = "Model-based early termination scheme for H.264/AVC inter prediction",
abstract = "Inter prediction is the most power-consumed component in H.264/AVC encoder. For the power-aware design, it is necessary to reduce the power consumption by using fast inter prediction techniques. In this paper, a system-level poweraware algorithm based on the early termination scheme of H.264/AVC inter prediction is proposed. The proposed early termination scheme for H.264 motion estimation is based on the statistical modeling of the motion compensated residual data. We develop a power-aware adaptive mechanism with multiple thresholds derived from the statistical model to early terminate the motion estimation (ME). According to the experimental results, our early termination scheme for H.264/AVC inter prediction not only preserves fine RD performance but also eliminates the unnecessary operation in both IME stage and FME stage to realize the power-aware H.264 encoder system.",
keywords = "Early termination, H.264/AVC, Motion estimation, Skip mode, VLSI",
author = "Chen, {Lien Fei} and Yang, {Shin Ping} and Lai, {Yeong Kang}",
year = "2009",
doi = "10.1109/icassp.2009.4959654",
language = "英语",
isbn = "9781424423545",
series = "ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "597--600",
booktitle = "2009 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings, ICASSP 2009",
address = "美国",
note = "2009 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009 ; Conference date: 19-04-2009 Through 24-04-2009",
}