MoVi: Mobile phone based video highlights via collaborative sensing

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

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 a replacement for 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.

Original languageEnglish (US)
Title of host publicationMobiSys'10 - Proceedings of the 8th International Conference on Mobile Systems, Applications, and Services
Pages357-370
Number of pages14
DOIs
StatePublished - Aug 2 2010
Externally publishedYes
Event8th Annual International Conference on Mobile Systems, Applications and Services, MobiSys 2010 - San Francisco, CA, United States
Duration: Jun 15 2010Jun 18 2010

Publication series

NameMobiSys'10 - Proceedings of the 8th International Conference on Mobile Systems, Applications, and Services

Other

Other8th Annual International Conference on Mobile Systems, Applications and Services, MobiSys 2010
CountryUnited States
CitySan Francisco, CA
Period6/15/106/18/10

Keywords

  • Collaborative sensing
  • Context
  • Fingerprinting
  • Mobile phones
  • Video highlights

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications
  • Electrical and Electronic Engineering

Fingerprint Dive into the research topics of 'MoVi: Mobile phone based video highlights via collaborative sensing'. Together they form a unique fingerprint.

  • Cite this

    Bao, X., & Roy Choudhury, R. (2010). MoVi: Mobile phone based video highlights via collaborative sensing. In MobiSys'10 - Proceedings of the 8th International Conference on Mobile Systems, Applications, and Services (pp. 357-370). (MobiSys'10 - Proceedings of the 8th International Conference on Mobile Systems, Applications, and Services). https://doi.org/10.1145/1814433.1814468