Video summarization via crowdsourcing

Conference on Human Factors in Computing Systems - Proceedings

Volumn , Issue , 2011, Pages 1531-1536

  Wu, Shao Yu ^a   Thawonmas, Ruck ^b   Chen, Kuan Ta ^a  

^a INSTITUTE OF INFORMATION SCIENCE   (Taiwan)

^b RITSUMEIKAN UNIVERSITY   (Japan)

Author keywords

Crowdsourcing; Human computation; Video skimming; Video summarization

Indexed keywords

ABSTRACTING; VIDEO RECORDING;

ABSTRACTION LEVEL; HUMAN COMPUTATION; REAL- TIME; UNIQUE FEATURES; VIDEO CONTENTS; VIDEO SKIMMING; VIDEO SUMMARIES; VIDEO SUMMARIZATION; WISDOM OF THE CROWDS; WORKERS';

CROWDSOURCING;

EID: 79957947341     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1979742.1979803     Document Type: Conference Paper

References (6)

1. Truong, B.T. and Venkatesh, S. Video Abstraction: A Systematic Review and Classification. ACM Transactions on Multimedia Computing, Communications, and Applications, 3(1). (2007), 1-37.
2. YouTube Fact Sheet. http://www.youtube.com/t/fact-sheet.
3. Christel, M., Smith, M., Taylor, C., and Winkler, D. Evolving Video Skims into Useful Multimedia Abstractions. In Proc. CHI '98, 171-178.
4. Gao, Y., Wang, W.B., Yong, J.H., and Gu, H.J. Dynamic Video Summarization Using Two-level Redundancy Detection. Multimedia Tools and Applications 42(2), (2009), 233-250.
5. Chen, K.-T., Tu, C.-C., Xiao, and W.-C. OneClick: A Framework for Measuring Network Quality of Experience. In Proc. INFOCOM 2009.
6. Chen, K.-T., Wu, C.-C., Chang, Y.-C., and Lei, C.-L. Quantifying QoS Requirements of Network Services: A Cheat-Proof Framework. In Proc. MMSys 2011.