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RealityFlythroughWhat is it?
Papers | Videos | PowerPoint RealityFlythrough is a telepresence/tele-reality system that works in the dynamic, uncalibrated environments typically associated with ubiquitous computing. By opportunistically harnessing networked mobile video cameras, it allows a user to remotely and immersively explore a physical space. Live 2d video feeds are situated in a 3d representation of the world. Rather than try to achieve photorealism at every point in space, we instead focus on providing the user with a sense of how the video streams relate to one another spatially. By providing cues in the form of dynamic transitions, we can approximate photorealistic telepresence while harnessing cameras “in the wild.”
RealityFlythrough gives a new look to first-person videoRealityFlythrough-style transitions produce a compelling visualization for low bitrate first-person video streams. So compelling, in fact, that some users in our study preferred this visualization over standard video because it minimizes the "Blaire Witch Project", nauseating feel of first-person video. More information can be found in our paper: A Robust Abstraction for First-Person Video Streaming: Techniques, Applications, and Experiments Example videos of our visualization can be found here. Ubicomp '05 video ready for downloadInterview on the RobCastA new video based on the Mobisys talk is available for downloadA rough draft of a video that parallels my Mobisys talk is now available. It is only 8 minutes long so the material in the talk had to be compressed quite a bit. An Abstraction for Ubiquitous Video RealityFlythrough featured at May 12 San Diego MMST drillSee story on Calit2 website. RealityFlythrough partners with WIISARDWIISARD works closely with the San Diego Metropolitan Medical Stricke Team (MMST). The partnership give us access to real disaster drills for testing RealityFlythrough. PapersRealityFlythrough: A System for Ubiquitous Video A Robust Abstraction for First-Person Video Streaming: Techniques, Applications, and Experiments A Robust Abstraction for First-Person Video Streaming: Techniques, Applications, and Experiments
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