Cameras are widely used in many fields, eg, intelligent transportation, autonomous driving,
surveillance, etc. It is thus vital to conduct video analytics in an efficient and accurate …

Real-time video analytics (VA) with requirement of high accuracy necessitates intensive
bandwidth resource consumption, calling for an adaptive streaming configuration strategy to …

Real-time video analytics typically require video frames to be processed by a query to
identify objects or activities of interest while adhering to an end-to-end frame processing …

The rapid growth of data and parameter sizes of machine learning models makes it
necessary to improve the efficiency of distributed training. It is observed that the …

Real-time video analytics services aim to provide users with accurate recognition results
timely. However, existing studies usually fall into the dilemma between reducing delay and …

Real-time analytics on video data from mobile devices demands intensive computation
resources for the application like traffic monitoring and anomaly detection. Leveraging edge …

Edge-assisted video analytics is gaining momentum. In this work, we tackle an important
problem to compress video content live streamed from the device to the edge without …

针对移动边缘计算中新兴网络媒体流业务面临的高时延, 高能耗, 高带宽, 低用户体验质量(QoE)
等问题, 提出一种基于QoE 反馈配置卸载(QFCO) 算法. 首先, 联合考虑预处理和优先级划分 …

Real-time video analytics typically require video frames to be processed by a query to
identify objects or activities of interest while adhering to an end-to-end frame processing …

Aiming at the problems of high-latency, high energy consumption, high bandwidth, and poor
quality of experience (QoE) caused by emerging network media streaming business in …