Network-adaptive encoding reduces end-to-end latency in cloud-based visual preprocessing for neuroprostheses during congestion while preserving global scene structure at the cost of sharper boundary degradation.
The Relative Importance of Depth Cues and Semantic Edges for Indoor Mobility Using Simulated Prosthetic Vision in Immersive Virtual Reality,
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Network-Adaptive Cloud Processing for Visual Neuroprostheses
Network-adaptive encoding reduces end-to-end latency in cloud-based visual preprocessing for neuroprostheses during congestion while preserving global scene structure at the cost of sharper boundary degradation.