RIVA, a novel Online Learning-enabled adaptive streaming framework for Real-time Industrial Video Analytics. To facilitate communication-efficient online retraining, we design a hierarchical reinforcement learning approach in which the upper-level module intelligently determines the timing for online retraining, balancing Quality of Service (QoS) improvement and communication cost. Meanwhile, the lower-level module dynamically allocates bitrate to maximize QoS. Extensive experiments based on real-world industrial video and network datasets demonstrate that our proposed framework achieves a 22.6% mean accuracy increase, a 64.9% decrease in the mean failure rate of video uploading, and a 60.2% mean latency decrease compared to the state-of-the-art solutions.">

RIVA: Communication-Efficient Streaming Control for Real-Time Industrial Video Analytics (original) (raw)

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