Next-Generation Wearable Networks
Computer
Spatiograms versus Histograms for Region-Based Tracking
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
SixthSense: RFID-based Enterprise Intelligence
Proceedings of the 6th international conference on Mobile systems, applications, and services
Mobile collaborative live video mixing
Proceedings of the 10th international conference on Human computer interaction with mobile devices and services
Distributed image search in camera sensor networks
Proceedings of the 6th ACM conference on Embedded network sensor systems
Proceedings of the 6th ACM conference on Embedded network sensor systems
Neary: conversation field detection based on similarity of auditory situation
Proceedings of the 10th workshop on Mobile Computing Systems and Applications
SurroundSense: mobile phone localization using ambient sound and light
ACM SIGMOBILE Mobile Computing and Communications Review
Energy-delay tradeoffs in smartphone applications
Proceedings of the 8th international conference on Mobile systems, applications, and services
MoVi: mobile phone based video highlights via collaborative sensing
Proceedings of the 8th international conference on Mobile systems, applications, and services
WallBots: interactive wall-crawling robots in the hands of public artists and political activists
Proceedings of the 8th ACM Conference on Designing Interactive Systems
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Mobile phones are becoming a convergent platform for sensing, computation, and communication. This paper envisions "VUPoints", a collaborative sensing and video-recording system that takes advantage of this convergence. Ideally, when multiple phones in a social gathering run VUPoints, the output is expected to be a short video-highlights of the occasion, created without human intervention. To achieve this, mobile phones must sense their surroundings and collaboratively detect events that qualify for recording. Short video-clips from different phones can be combined to produce the highlights of the occasion. This paper reports exploratory work towards this longer term project. We present a feasibility study, and show how social events can be sensed through mobile phones and used as triggers for video-recording. While false positives cause inclusion of some uninteresting videos, we believe that further research can significantly improve the efficacy of the system.