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• W2029016069 abstract "Glimpse is a continuous, real-time object recognition system for camera-equipped mobile devices. Glimpse captures full-motion video, locates objects of interest, recognizes and labels them, and tracks them from frame to frame for the user. Because the algorithms for object recognition entail significant computation, Glimpse runs them on server machines. When the latency between the server and mobile device is higher than a frame-time, this approach lowers object recognition accuracy. To regain accuracy, Glimpse uses an active cache of video frames on the mobile device. A subset of the frames in the active cache are used to track objects on the mobile, using (stale) hints about objects that arrive from the server from time to time. To reduce network bandwidth usage, Glimpse computes trigger frames to send to the server for recognizing and labeling. Experiments with Android smartphones and Google Glass over Verizon, ATT without Glimpse, continuous detection is non-functional (0.2%-1.9% precision)." @default.
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• W2029016069 date "2015-11-01" @default.
• W2029016069 modified "2023-10-01" @default.
• W2029016069 title "Glimpse" @default.
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• W2029016069 doi "https://doi.org/10.1145/2809695.2809711" @default.
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