Authors
Tiffany Yu-Han Chen, Lenin Ravindranath, Shuo Deng, Paramvir Bahl, Hari Balakrishnan
Publication date
2015/11/1
Book
Proceedings of the 13th ACM conference on embedded networked sensor systems
Pages
155-168
Description
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 …
Total citations
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Scholar articles
TYH Chen, L Ravindranath, S Deng, P Bahl… - Proceedings of the 13th ACM conference on …, 2015