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Towards low power approximate DCT architecture for HEVC standard

机译:迈向HEVC标准的低功耗近似DCT架构

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Video processing performed directly on IoT nodes is one of the most performance as well as energy demanding applications for current IoT technology. In order to support real-time high-definition video, energy-reduction optimizations have to be introduced at all levels of the video processing chain. This paper deals with an efficient implementation of Discrete Cosine Transform (DCT) blocks employed in video compression based on the High Efficiency Video Coding (HEVC) standard. The proposed multiplierless 4-input DCT implementations contain approximate adders and subtractors that were obtained using genetic programming. In order to manage the complexity of evolutionary approximation and provide formal guarantees in terms of errors of key circuit components, the worst and average errors were determined exactly by means of Binary decision diagrams. Under conditions of our experiments, approximate 4-input DCTs show better quality/power trade-offs than relevant implementations available in the literature. For example, 25% power reduction for the same error was obtained in comparison with a recent highly optimized implementation.
机译:直接在IoT节点上执行的视频处理是当前IoT技术中性能和能耗要求最高的应用之一。为了支持实时高清视频,必须在视频处理链的所有级别引入节能优化。本文研究了基于高效视频编码(HEVC)标准的视频压缩中使用的离散余弦变换(DCT)块的有效实现。拟议的无乘法器4输入DCT实现包含使用遗传编程获得的近似加法器和减法器。为了管理演化近似的复杂性并为关键电路组件的误差提供形式上的保证,最坏和平均误差均通过二进制决策图准确确定。在我们的实验条件下,与文献中可用的相关实现相比,近似的4输入DCT具有更好的质量/功率折衷。例如,与最近高度优化的实施方案相比,针对相同的误差获得了25%的功耗降低。

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