The emergence of wearable devices such as Google Glass has ignited a debate about a "killer app" for them. We describe a crowd-sourced system called QuiltView that leverages the ability of Glass-like devices to provide near-effortless capture of first-person viewpoint video. Recording a video clip merely involves touching the shank of your Glass device. The extreme simplicity of video capture can be used to create a new kind of near-real-time social network. In this social network, users can pose brief queries to other users in a specific geographic area and receive prompt video responses. The richness of video content provides much detail and context to the person posing the query, while consuming little attention from those who respond. The QuiltView architecture incorporates result caching, geolocation and query similarity detection to shield users from being overwhelmed by a flood of queries.
Zhuo Chen is a Ph.D candidate at Carnegie Mellon University, Computer Science Department. He received BE from Tsinghua University in 2008. During his senior year at college, he also worked as an intern at Microsoft Research Asia, Wireless and Networking Group. His main research interest lies in Distributed Systems, Mobile Computing, and the application of Computer Vision in such context. He is currently working on Cloudlet project under Professor Mahadev Satyanarayanan. Specifically, he explores how the effortless video capture of smart glasses, such as Google Glass, can benefit people with the Cloudlet infrastructure.
karen [atsymbol] ece.cmu.edu