A 1mJ/frame unified media application processor with a 179.7pJ mixed-mode feature extraction engine for embedded 3D-media contents processing

Hyo-Eun Kim, Jun-Seok Park, Jae-Sung Yoon, Seok-Hoon Kim, L. Kim
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引用次数: 2

Abstract

A unified media application processor (UMAP) with a low-power mixed-mode feature extraction engine (FEE) is presented for 2D/3D image analysis/synthesis applications on handheld devices. UMAP supports not only graphics and vision for augmented reality (AR) but also 3D reconstruction and 3D display for 3D-view AR based on heterogeneous many-core platform. A frame-level 3-stage pipelined architecture enables real-time (50fps in VGA) performance in 3D-view AR, while a mixed-mode FEE dynamically saves active power by reconfiguring operation modes between analog and digital processing. Especially for low power operation in media processing, four pairs of analog current contention logics (CCL) are implemented in FEE. The implemented CCL does not require digital-to-analog or analog-to-digital converters (DAC/ADC) in interfacing digital and analog domains. It includes a diode-connected sensing stabilizer which reduces minimum sensing current. Therefore, average power consumed in CCL is reduced by 44.9%. In the implemented UMAP, the proposed FEE replaces the parallel processing core cluster in the analog processing mode, as a result, 96.5% of cluster power and 99.1% of target detection time are saved. The dynamic mode transition between analog and digital processing based on run-time tracking of region-of-interest (ROI) reduces system energy dissipation by up to 84.2% compared to the state-of-the-art embedded media processors.
1mJ/帧统一媒体应用处理器,179.7pJ混合模式特征提取引擎,用于嵌入式3d媒体内容处理
提出了一种具有低功耗混合模式特征提取引擎的统一媒体应用处理器(UMAP),用于手持设备上的2D/3D图像分析/合成应用。UMAP不仅支持增强现实(AR)的图形和视觉,还支持基于异构多核平台的3D视图AR的3D重建和3D显示。帧级3级流水线架构可实现3d视图AR的实时(VGA 50fps)性能,而混合模式FEE通过在模拟和数字处理之间重新配置操作模式来动态节省有功功率。特别是对于媒体处理中的低功耗操作,在FEE中实现了四对模拟电流争用逻辑(CCL)。实现的CCL在接口数字和模拟域中不需要数模或模数转换器(DAC/ADC)。它包括一个二极管连接的传感稳定器,它可以降低最小传感电流。因此,CCL的平均功耗降低44.9%。在实现的UMAP中,所提出的FEE取代了模拟处理模式下的并行处理核心集群,从而节省了96.5%的集群功耗和99.1%的目标检测时间。与最先进的嵌入式媒体处理器相比,基于感兴趣区域(ROI)运行时跟踪的模拟和数字处理之间的动态模式转换可将系统能耗降低高达84.2%。
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