… In this paper, we propose a video analytics system named DVQShare to process DNN-… In
this paper, we take advantage of the second optimization method in the design of the proposed …

… is a crucial task for video analytics. Unlike existing adaptation … adaptation for video streaming
in video analytics applications. … optimization problem for batch adaptive streaming for video …

… to design an efficient decoder to schedule the multiple pipelines for video analytics adaptively.
… Her research interests include edge Al, Bilevel optimization, and video analytics systems. …

… This limits the potential to adapt to the workloads and optimize the video analytics accuracy,
as we often see that one of the CPU/GPU has reached its maximum capacity, yet the …

… frame resolution and quantization parameter. … video analytics that target objects usually
only occupy a small spatial area of a frame, and thus fail to use bandwidth efficiently to optimize …

… to the workloads and optimize the video analytics accuracy, as … Video analytics optimization
techniques: There are op… , model compression, model quantization. Small models have also …

… quantization … quantization table of each tile selected based on the CICO-derived compression
quality. A higher value of the compression quality means smaller values in the quantization …

… learning for video analytics. Although these advanced deep … , which supports deep learning
video analytics through edge … , we formulate and solve these three optimization problems. …

… of video analytics and their dependency on said system and data. • AutoML Framework.
We propose an optimization frame… We quantize the time allocation decisions wnt so that our …

… To ease this burden, we propose Tetris, a system comprising of several optimization
techniques from computer vision and deep-learning literature blended in a synergistic manner. …