Feb. 6, 2024, 5:49 a.m. | Lin Sun Weijun Wang Tingting Yuan Liang Mi Haipeng Dai Yunxin Liu Xiaoming Fu

cs.LG updates on arXiv.org arxiv.org

High-definition (HD) cameras for surveillance and road traffic have experienced tremendous growth, demanding intensive computation resources for real-time analytics. Recently, offloading frames from the front-end device to the back-end edge server has shown great promise. In multi-stream competitive environments, efficient bandwidth management and proper scheduling are crucial to ensure both high inference accuracy and high throughput. To achieve this goal, we propose BiSwift, a bi-level framework that scales the concurrent real-time video analytics by a novel adaptive hybrid codec integrated …

analytics bandwidth cameras computation cs.cv cs.lg cs.ni definition edge environments front-end growth management orchestrator real-time resources scheduling server surveillance traffic video video analytics

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