… object classification, video summarization, object … video analytics and intelligent video
systems (IVS). We evaluated the state-of-the-art approach to video analytics including deep …

… We first provide relevant background on CNNs for video analytics and AR. In video analytics,
object recognition (classifying the object) and object detection (locating the object in the …

… the broader field of video analytics using deep learning with a … the techniques that use deep
learning in detecting abnormal … most crowded domain for video-related extensive research …

… analytics pipelines. In this paper, we describe our ongoing work in the Stanford DAWN lab
on BlazeIt, an analytics engine for scalable and usable video analytics … these deep networks …

… Abstract—Deep learning has recently achieved very … It aims to learn hierarchical
representations of data by using deep … review the deep learning algorithms applied to video …

… perform video analytics while preserving private information. To address aforementioned
challenges, we propose PrivacyEye - a mobile-cloud collaborative video analytics system, …

… to apply deep learning for video analytics. Although these advanced deep learning models
… called FastVA, which supports deep learning video analytics through edge processing and …

A system to perform video analytics is proposed using … video streams using cloud-based
infrastructure. A key focus in this paper is on tuning hyper-parameters associated with the deep …

… While deep learning opens the door for the automation of camera-based applications,
deploying pipelines for live video analytics is still a complicated process that requires domain …

… in order to improve the performance 9 of video analytics. Also, frame resolution should be …
In this paper, we study the server resource-aware offloading 12 problem for video analytics, …