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This paper presents a thermal optimization technique that adaptively employs varying degree of approximations at both algorithm and data levels in order to reduce the temperature associated with the high efficiency video coding process while maintaining good quality results. The technique evaluates, at run-time, the regions of a video sequence, frame-by-frame, in terms of tolerance to imprecise computations...
This paper presents an application-driven algorithm for Dynamic Thermal Management (DTM) for the High Efficiency Video Coding (HEVC). For efficient design of such a DTM policy, we perform an offline thermal analysis of an HEVC encoder and demonstrate the impact of different video sequences and different coding configurations on the processor temperature. Our thermal analysis is leveraged to develop...
This paper provides a comprehensive analysis of the computational complexity, power consumption, temperature, and memory access behavior for the next-generation High Efficiency Video Coding (HEVC) standard. We highlight the associated design challenges and present several low-power algorithmic and architectural techniques for developing power-efficient HEVC-based multimedia system. We explore the...
An adaptive power management of on-chip video memory for Multiview Video Coding is presented. It leverages texture, motion and disparity properties of objects and their correlations in the 3D-neighborhood. It groups different Macroblocks of a frame and predicts the highly-probable motion/disparity search direction in order to power-gate idle memory regions. Exploited are the statistical properties...
The H.264/AVC video encoder standard significantly improves the compression efficiency by using variable block-sized Inter (P) and Intra (I) Macroblock (MB) coding modes. In this paper, we propose a novel Human Visual System based Adaptive Computational Complexity Reduction Scheme (ACCoReS). It performs Prognostic Early Mode Exclusion and a Hierarchical Fast Mode Prediction to exclude as many I-MB...
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. 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...
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. We therefore present a power-aware Motion Estimator for H.264 that adapts at run time according to...
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