Multi-view scheduling of onboard live video analytics to minimize frame processing latency

• Main Authors: LIU, Shengzhong, WANG, Tianshi, GUO, Hongpeng, FU, Xinzhe, DAVID, Philip, WIGNESS, Maggie, MISRA, Archan, ABDELZAHER, Tarek
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Edge Computing; Live Video Analytics; Collaborative Sensing; Data Science; Graphics and Human Computer Interfaces
• Online Access: https://ink.library.smu.edu.sg/sis_research/7888; https://ink.library.smu.edu.sg/context/sis_research/article/8890/viewcontent/717700a503.pdf
• Institution: Singapore Management University

This paper presents a real-time multi-view scheduling framework for DNN-based live video analytics at the edge to minimize frame processing latency. The work is motivated by applications where a higher frame rate is important, not to miss actions of interest. Examples include defense, border securit...