DeepDecision: A Mobile Deep Learning Framework for Edge Video Analytics
1 簡介 在移動終端設備上運行視頻分析應用(AR)時，若是簡單將視頻看做是幀的集合，一概將計算任務放在雲上，會極大限制應用的優化空間。做者的思路是利用視頻中相鄰幀的類似性對視頻進行壓縮，同時對計算模型也進行壓縮，而且運行時根據網絡情況，精度要求，電源使用狀況等動態肯定計算任務的卸載位置來優化效率。服務器 2 背景 使用CNN進行視頻中的物體檢測和識別，做者使用YOLO9000，它可使用一個神經網絡
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