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UW-SVC: Scalable Video Coding Transmission for In-Network Underwater Imagery Analysis

机译:UW-SVC:用于网络内水下图像分析的可扩展视频编码传输

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Underwater imagery has enabled numerous civilian applications in various domains, ranging from academia to industry, and from industrial surveillance and maintenance to environmental protection and behavior of marine creatures studies. The accumulation of litter and plastic debris at the seafloor and the bottom of rivers are extremely harmful for the aquatic life. We propose a solution for monitoring this problem using a team of Autonomous Underwater Vehicles (AUVs) to exchange the recorded video in order to reconstruct the map of regions of interest. However, underwater video transmission is a challenge in the harsh environment in which radio-frequency waves are absorbed for distances above a few tens of meters, optical waves require narrow laser beams and suffer from scattering and ocean wave motion, and acoustic waves-while long range-provide a very low bandwidth and unreliable channel for communication. In our solution, the scalable coded video of each vehicle is shared in-network with a selected group of receiving vehicles through the underwater acoustic channel. Presented evaluations, including both simulations and experiments, confirm the efficiency and flexibility of the proposed solution using acoustic software-defined modems.
机译:水下图像已经在各个领域中启用了许多民用应用,从学术界到工业,以及从产业监测和维护环境保护和海洋生物研究行为。海底垃圾和塑料碎片的积累和河底对水生生物极为有害。我们建议使用自动水下车辆(AUV)的团队来改建录制视频来监测此问题的解决方案,以重建感兴趣的区域地图。然而,水下视频传输是苛刻的环境中的挑战,其中射频波被吸收到距离超过几十米的距离,光波需要窄激光束并遭受散射和海浪运动,而声波范围 - 为通信提供非常低的带宽和不可靠的通道。在我们的解决方案中,每个车辆的可伸缩编码视频是通过水下声频道的所选接收车辆的网络共享网络。呈现的评估包括模拟和实验,使用声学软件定义的调制解调器确认所提出的解决方案的效率和灵活性。

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