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System-on-a-Chip (SoC) Based Hardware Acceleration for Video Codec

机译:用于视频编解码器的基于片上系统(SoC)的硬件加速

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Nowadays, from home monitoring to large airport security, a lot of digital video surveillance systems have been used. Digital surveillance system usually requires streaming video processing abilities. As an advanced video coding method, H.264 is introduced to reduce the large video data dramatically (usually by 70X or more). However, computational overhead occurs when coding and decoding H.264 video. In this paper, a System-on-a-Chip (SoC) based hardware acceleration solution for video codec is proposed, which can also be used for other software applications. The characteristics of the video codec are analyzed by using the profiling tool. The Hadamard function, which is the bottleneck of H.264, is identified not only by execution time but also another two attributes, such as cycle per loop and loop round. The Co-processor approach is applied to accelerate the Hadamard function by transforming it to hardware. Performance improvement, resource costs and energy consumption are compared and analyzed. Experimental results indicate that 76.5% energy deduction and 8.09X speedup can be reached after balancing these three key factors.
机译:如今,从家庭监视到大型机场安全,已经使用了许多数字视频监视系统。数字监视系统通常需要流视频处理能力。作为一种高级视频编码方法,引入了H.264以大幅度减少大视频数据(通常减少70倍或更多)。但是,编码和解码H.264视频时会发生计算开销。本文提出了一种基于片上系统(SoC)的视频编解码器硬件加速解决方案,该解决方案也可用于其他软件应用程序。使用配置文件工具分析视频编解码器的特性。 Hadamard功能是H.264的瓶颈,不仅可以通过执行时间来识别,还可以通过另外两个属性来识别,例如每个循环的循环数和循环循环数。协处理器方法通过将Hadamard功能转换为硬件来加速它的功能。对性能改进,资源成本和能耗进行了比较和分析。实验结果表明,在平衡了这三个关键因素之后,可以实现76.5%的能量减少和8.09倍的加速。

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