@inproceedings{56b9eb5395284afe873d2c109b6d1311,
title = "3-tier dynamically adaptive power-aware Motion Estimator for H.264/AVC video encoding",
abstract = "The limitation of energy in portable communication/entertainment devices necessitates the reduction of video encoding complexity. The H.264/AVC video coding standard is one of the latest video codecs and features a complex Motion Estimation scheme that accounts for a major part of the encoder energy[2]. We therefore present a power-aware Motion Estimator for H.264 that adapts at run time according to the available energy level. We perform a set of adaptations at different Processing Stages of Motion Estimation. Our results show that in case of CIF videos (typically used in portable devices; but our approach is equally applicable to other video resolutions too), we achieve an average energy reduction of 52 times and 27 times as compared to UMHexagonS[12] and EPZS [14] respectively. This energy saving comes at the cost of an average loss of only 0.39 dB in Peak Signal to Noise Ratio (PSNR: an objective quality measure) and 23% increase in area (synthesized for 90nm technology).",
keywords = "Early termination, H.264, Low complexity, Low power, Motion Estimation, MPEG-4 AVC, Run-time adaptation, Search pattern",
author = "Muhammad Shafique and Lars Bauer and J{\"o}rg Henkel",
note = "Copyright: Copyright 2009 Elsevier B.V., All rights reserved.; ISLPED'08: 13th ACM/IEEE International Symposium on Low Power Electronics and Design ; Conference date: 11-08-2008 Through 13-08-2008",
year = "2008",
doi = "10.1145/1393921.1393962",
language = "English (US)",
isbn = "9781605581095",
series = "Proceedings of the International Symposium on Low Power Electronics and Design",
pages = "147--152",
booktitle = "ISLPED'08",
}