Hybrid Visual Telemetry for Bandwidth-Constrained Robotic Vision: A Pilot Study with HEVC Base Video and JPEG ROI Stills
Natalia Trukhina, Vadim Vashkelis

TL;DR
This paper introduces a hybrid visual telemetry system combining low-bitrate video with high-detail ROI stills, optimizing bandwidth use for robotic vision tasks.
Contribution
It formalizes a practical hybrid transmission scheme using HEVC and JPEG stills, establishing a foundation for bandwidth-efficient robotic perception.
Findings
Hybrid scheme improves object recognition accuracy under bandwidth constraints.
Experimental protocol compares video-only and hybrid schemes with matched communication budgets.
UAV datasets demonstrate the effectiveness of ROI-driven high-detail stills.
Abstract
Bandwidth-constrained robotic and surveillance systems often rely on a single compressed video stream to support both continuous scene awareness and downstream machine perception. In practice, this creates a mismatch: low-bitrate video can preserve motion and coarse context, but often loses the fine local detail needed for reliable object recognition and decision-making. Motivated by a hybrid architecture in which low-resolution video supports dynamic scene understanding while eventdriven high-detail regions of interest (ROIs) support close-up identification and analytics, this paper formalizes a two-channel visual telemetry scheme in which a continuous low-bitrate video stream is augmented by selectively transmitted high-detail still ROIs. This first paper does not attempt to prove the superiority of a new still-image codec. Instead, it establishes the hybrid transmission paradigm…
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