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English(EN) Hybrid Visual Telemetry for Bandwidth-Constrained Robotic Vision: A Pilot Study with HEVC Base Video and JPEG ROI Stills

机器人视觉采用混合视频和静态图像以在带宽限制下提高细节

研究人员提出了一种新颖的混合视觉遥测方案,用于带宽受限的机器人视觉系统。该方法结合了连续的低比特率视频流和选择性传输的高细节感兴趣区域(ROI)静态图像。目标是克服单一压缩视频流的局限性,这类视频流通常缺乏精确机器感知所需的精细细节。该研究使用 x265/HEVC 和 JPEG 等现有编解码器建立了这种传输范例,为未来对更先进编解码器的研究奠定了基础。 AI

影响 这种混合方法可以提高在带宽受限条件下运行的机器人视觉系统的效率和准确性。

排序理由 这是一篇详细介绍机器人视觉遥测新方法的论文。[lever_c_demoted from research: ic=1 ai=0.7]

在 arXiv cs.CV 阅读 →

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机器人视觉采用混合视频和静态图像以在带宽限制下提高细节

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这是一篇详细介绍机器人视觉遥测新方法的论文。[lever_c_demoted from research: ic=1 ai=0.7]
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报道来源 [1]

  1. arXiv cs.CV TIER_1 English(EN) · Natalia Trukhina, Vadim Vashkelis ·

    混合视觉遥测技术用于带宽受限的机器人视觉:基于HEVC基础视频和JPEG感兴趣区域静态图像的试点研究

    arXiv:2605.01826v1 Announce Type: new 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 vi…