mmFilter

Zhiming Hu, Ning Ye, Caleb Phillips, Tim Capes, Iqbal Mohomed · 2020

Advances in deep learning have shown promising potential in scalable video analytics in the cloud. However, in constrained settings, it is not feasible to send every video frame from cameras at the edge. Being selective about which frames should be sent to the cloud reduces bandwidth consumption, conserves energy, and protects user privacy.

Read the paper · More papers on PaperTik