Fundamentals of speech recognition
Fundamentals of speech recognition
Smart clothing: the shift to wearable computing
Communications of the ACM
Modern Information Retrieval
An Audio-Based Sports Video Segmentation and Event Detection Algorithm
CVPRW '04 Proceedings of the 2004 Conference on Computer Vision and Pattern Recognition Workshop (CVPRW'04) Volume 7 - Volume 07
Information Retrieval: Algorithms and Heuristics (The Kluwer International Series on Information Retrieval)
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
Content-based multimedia information retrieval: State of the art and challenges
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
The Design of High-Level Features for Photo Quality Assessment
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 1
Proceedings of the 4th workshop on Embedded networked sensors
Micro-Blog: sharing and querying content through mobile phones and social participation
Proceedings of the 6th international conference on Mobile systems, applications, and services
Nericell: rich monitoring of road and traffic conditions using mobile smartphones
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
Mobile information retrieval with search results clustering: Prototypes and evaluations
Journal of the American Society for Information Science and Technology
Proceedings of the 7th international conference on Mobile systems, applications, and services
SoundSense: scalable sound sensing for people-centric applications on mobile phones
Proceedings of the 7th international conference on Mobile systems, applications, and services
VUPoints: collaborative sensing and video recording through mobile phones
Proceedings of the 1st ACM workshop on Networking, systems, and applications for mobile handhelds
SurroundSense: mobile phone localization via ambience fingerprinting
Proceedings of the 15th annual international conference on Mobile computing and networking
MAUI: making smartphones last longer with code offload
Proceedings of the 8th international conference on Mobile systems, applications, and services
LIBSVM: A library for support vector machines
ACM Transactions on Intelligent Systems and Technology (TIST)
Tapping into the Vibe of the city using VibN, a continuous sensing application for smartphones
Proceedings of 1st international symposium on From digital footprints to social and community intelligence
A survey on privacy in mobile participatory sensing applications
Journal of Systems and Software
Identifying diverse usage behaviors of smartphone apps
Proceedings of the 2011 ACM SIGCOMM conference on Internet measurement conference
Sensor-based analysis of user generated video for multi-camera video remixing
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
CoMon: cooperative ambience monitoring platform with continuity and benefit awareness
Proceedings of the 10th international conference on Mobile systems, applications, and services
Medusa: a programming framework for crowd-sensing applications
Proceedings of the 10th international conference on Mobile systems, applications, and services
How long to wait?: predicting bus arrival time with mobile phone based participatory sensing
Proceedings of the 10th international conference on Mobile systems, applications, and services
Helping mobile apps bootstrap with fewer users
Proceedings of the 2012 ACM Conference on Ubiquitous Computing
Cloud-enabled privacy-preserving collaborative learning for mobile sensing
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
Low cost crowd counting using audio tones
Proceedings of the 10th ACM Conference on Embedded Network Sensor Systems
Lowering the barriers to large-scale mobile crowdsensing
Proceedings of the 14th Workshop on Mobile Computing Systems and Applications
Spartacus: spatially-aware interaction for mobile devices through energy-efficient audio sensing
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
Scalable crowd-sourcing of video from mobile devices
Proceeding of the 11th annual international conference on Mobile systems, applications, and services
Your reactions suggest you liked the movie: automatic content rating via reaction sensing
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
Understanding user behavior at scale in a mobile video chat application
Proceedings of the 2013 ACM international joint conference on Pervasive and ubiquitous computing
FOCUS: clustering crowdsourced videos by line-of-sight
Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems
Personalized behavior pattern recognition and unusual event detection for mobile users
Mobile Information Systems
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Sensor networks have been conventionally defined as a network of sensor motes that collaboratively detect events and report them to a remote monitoring station. This paper makes an attempt to extend this notion to the social context by using mobile phones as replacement of motes. We envision a social application where mobile phones collaboratively sense their ambience and recognize socially "interesting" events. The phone with a good view of the event triggers a video recording, and later, the video-clips from different phones are "stitched" into a video highlights of the occasion. We observe that such a video highlights is akin to the notion of event coverage in conventional sensor networks, only the notion of "event" has changed from physical to social. We have built a Mobile Phone based Video Highlights system (MoVi) using Nokia phones and iPod Nanos, and have experimented in real-life social gatherings. Results show that MoVi-generated video highlights (created offline) are quite similar to those created manually, (i.e., by painstakingly editing the entire video of the occasion). In that sense, MoVi can be viewed as a collaborative information distillation tool capable of filtering events of social relevance.