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DESCRIPTION:Low power consumption and scalability are the key properties of
  augmented reality (AR) yet to be realized to attract more users and drive
  new applications. Towards low-power single-user AR\, we develop a novel f
 ramework\, MARLIN\, which only uses a DNN as needed\, to detect new object
 s or recapture objects that significantly change in appearance. When multi
 ple AR users collaborate in a common space\, we propose FreeAR that employ
 s collaborative time slicing to distribute compute-heavy AR tasks such as 
 SLAM and DNNs across devices\, and leverages P2P communications for messag
 e exchanges\, to achieve a low energy footprint without edge infrastructur
 e. With cellular infrastructure\, AR devices can communicate with cloud se
 rvers to offload heavy computations. However\, we discover that when multi
 ple users communicate over cellular networks\, AR applications experience 
 high latencies. We characterize and understand the root causes of high lat
 encies and perform a first-of-its-kind measurement study. Based on the stu
 dy\, we propose network-aware and network-agnostic AR solutions that help 
 ramp up AR goodput by ~40-70%.\n\nCo-sponsored by: New Jersey Institute of
  Technology\n\nSpeaker(s): Dr. Kittipat Apicharttrisorn\, \n\nRoom: The Le
 wis P. and Julia Kiernan Conference Room\, Bldg: Electrical and Computer E
 ngineering Center Suite 200\, New Jersey Institute of Technology\, Univers
 ity Heights\, Newark\, New Jersey\, United States\, 07102\, Virtual: https
 ://events.vtools.ieee.org/m/349644
LOCATION:Room: The Lewis P. and Julia Kiernan Conference Room\, Bldg: Elect
 rical and Computer Engineering Center Suite 200\, New Jersey Institute of 
 Technology\, University Heights\, Newark\, New Jersey\, United States\, 07
 102\, Virtual: https://events.vtools.ieee.org/m/349644
ORGANIZER:tao.han@njit.edu
SEQUENCE:18
SUMMARY:Towards Low-Power and Internet-Scale Mixed Reality
URL;VALUE=URI:https://events.vtools.ieee.org/m/349644
X-ALT-DESC:Description: <br /><p style="font-weight: 400\;">Low power consu
 mption and scalability are the key properties of augmented reality (AR) ye
 t to be realized to attract more users and drive new applications. Towards
  low-power single-user AR\, we develop a novel framework\, MARLIN\, which 
 only uses a DNN as needed\, to detect new objects or recapture objects tha
 t significantly change in appearance. When multiple AR users collaborate i
 n a common space\, we propose FreeAR that employs collaborative time slici
 ng to distribute compute-heavy AR tasks such as SLAM and DNNs across devic
 es\, and leverages P2P communications for message exchanges\, to achieve a
  low energy footprint without edge infrastructure. With cellular infrastru
 cture\, AR devices can communicate with cloud servers to offload heavy com
 putations. However\, we discover that when multiple users communicate over
  cellular networks\, AR applications experience high latencies. We charact
 erize and understand the root causes of high latencies and perform a first
 -of-its-kind measurement study. Based on the study\, we propose network-aw
 are and network-agnostic AR solutions that help ramp up AR goodput by ~40-
 70%.&nbsp\;</p>
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