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• W2097366465 abstract "The limited energy resources in portable multimedia devices require the reduction of encoding complexity. The complex Motion Estimation (ME) scheme of H.264/MPEG-4 AVC accounts for a major part of the encoder energy [3]. In this paper we present a Run-Time Adaptive Predictive Energy Budgeting (enBudget) scheme for energy-aware ME that predicts the energy budget for different video frames and different Macroblocks (MBs) in an adaptive manner considering the run-time changing scenarios of available energy, video frame characteristics, and user-defined coding constraints while keeping a good video quality. It assigns different Energy-Quality Classes to different video frames and fine-tunes at MB level depending upon the predictive energy quota in order to cope with above-mentioned run-time unpredictable scenarios. Compared to UMHexagonS [4], EPZS [6], and FastME [20], our enBudget scheme for energy-aware ME achieves an energy saving of up to 93%, 90%, 88% (average 88%, 77%, 66%), respectively. It suffers from an average Peak Signal to Noise Ratio (PSNR) loss of 0.29 dB compared to Full Search. We also demonstrate that enBudget is equally beneficial to various other state-of-the-art fast adaptive MEs (e.g. [4]). We have evaluated our scheme for ASIC and various FPGAs." @default.
• W2097366465 created "2016-06-24" @default.
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• W2097366465 date "2010-03-08" @default.
• W2097366465 modified "2023-09-23" @default.
• W2097366465 title "enBudget: a run-time adaptive predictive energy-budgeting scheme for energy-aware motion estimation in H.264/MPEG-4 AVC video encoder" @default.
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• W2097366465 doi "https://doi.org/10.5555/1870926.1871344" @default.
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