“Immersivemote: Combining Foveated AI and Streaming for Immersive Remote Operations” by Lungaro and Tollmar

  • ©Pietro Lungaro and Konrad Tollmar

  • ©Pietro Lungaro and Konrad Tollmar

Conference:


Entry Number: 17

Title:

    Immersivemote: Combining Foveated AI and Streaming for Immersive Remote Operations

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Abstract:


    Immersivemote is a novel technology combining our former foveated streaming solution with our novel foveated AI concept. While we have previously shown that foveated streaming can achieve 90% bandwidth savings, as compared to existing streaming solutions, foveated AI is designed to enable real-time video augmentations that are controlled through eye-gaze. The combined solution is therefore capable of effectively interfacing remote operators with mission critical information obtained, in real time, from task-aware machine understanding of the scene and IoT data.

References:


    Stephen M. Casner, Edwin L. Hutchins, and Don Norman. 2016. The Challenges of Partially Automated Driving. Commun. ACM 59, 5 (April 2016), 70–77. https: //doi.org/10.1145/2830565
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    Brian Guenter, Mark Finch, Steven Drucker, Desney Tan, and John Snyder. 2012. Foveated 3D Graphics. ACM Trans. Graph. 31, 6 (Nov. 2012), 164:1–164:10. https: //doi.org/10.1145/2366145.2366183
    Pietro Lungaro, Rickard Sjoberg, Alfredo Jose Fanghella Valero, Ashutosh Mittal, and Konrad Tollmar. 2018. Gaze-Aware Streaming Solutions for the Next Generation of Mobile VR Experiences. IEEE Transactions on Visualization and Computer Graphics 24, 4 (April 2018), 1535–1544. https://doi.org/10.1109/TVCG.2018.2794119
    Marvin Minksy. 1980. Telepresence. https://web.media.mit.edu/~minsky/papers/ Telepresence.html
    John Pretlove and Charlotte Skourup. 2007. Human in the loop. ABB Review 1 (2007), 6–10.
    Joseph Redmon and Ali Farhadi. 2018. YOLOv3: An Incremental Improvement. arXiv (2018).

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