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Underwater imagery has enabled numerous civilian applications in variousdomains, ranging from academia to industry, and from industrial surveillanceand maintenance to environmental protection and behavior of marine creaturesstudies. The accumulation of litter and plastic debris at the seafloor and thebottom of rivers are extremely harmful for the aquatic life. We propose asolution for this problem using a team of Autonomous Underwater Vehicles (AUVs)to exchange the recorded video in order to reconstruct the seafloor regions ofinterest. However, underwater video transmission is a challenge in the harshenvironment in which radio-frequency waves are absorbed for distances above afew tens of meters, optical waves require narrow laser beams and suffer fromscattering and ocean wave motion, and acoustic waves, while long range, providea very low bandwidth and unreliable channel for communication. In our solution,the scalable coded video of each vehicle is shared with a selected group ofreceiving videos, pseudo-multicasting, through the acoustic channel. Presentedevaluations, including both simulations and experiments, confirm the efficiencyand flexibility of the proposed solution using acoustic software-definedmodems.

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