DeepDecision: A Mobile Deep Learning Framework for Edge Video Analytics
1 简介 在移动终端设备上运行视频分析应用(AR)时，若是简单将视频看做是帧的集合，一概将计算任务放在云上，会极大限制应用的优化空间。做者的思路是利用视频中相邻帧的类似性对视频进行压缩，同时对计算模型也进行压缩，而且运行时根据网络情况，精度要求，电源使用状况等动态肯定计算任务的卸载位置来优化效率。服务器 2 背景 使用CNN进行视频中的物体检测和识别，做者使用YOLO9000，它可使用一个神经网络
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相关文章
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