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Intention-based home video browsing

Published: 06 November 2005 Publication History

Abstract

This demonstration presents an efficient home video browsing system from a novel viewpoint -- capture intention. We extend our previous work to build up a comprehensive scheme to mine the capture intention, and based on this scheme, propose a novel home video browsing system. Such an intention based system assists both camcorder users and viewers to experience their personal home videos by providing two better manners of browsing -- by intention thumbnails and by intention curves. The user study indicates that our system offers users a more efficient way to search a given clip in a video than attention-based scheme.

References

[1]
R. J. Gerrig and P. G. Zimbardo. Psychology and Life (16 Edition). Allyn & Bacon, 2001.
[2]
Y.-F. Ma, L. Lu, H.-J. Zhang, and M. Li. A user attention model for video summarization. In Proceedings of ACM Multimedia, 2002.
[3]
T. Mei, X.-S. Hua, H.-Q. Zhou, and S. Li. To mine the capture intention of camcorder users. In Proceedings of VCIP, 2005.

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cover image ACM Conferences
MULTIMEDIA '05: Proceedings of the 13th annual ACM international conference on Multimedia
November 2005
1110 pages
ISBN:1595930442
DOI:10.1145/1101149
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 06 November 2005

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Author Tags

  1. attention detection
  2. capture intention
  3. video content analysis

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MM05

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MULTIMEDIA '05 Paper Acceptance Rate 49 of 312 submissions, 16%;
Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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  • (2016)User Intent in Multimedia SearchACM Computing Surveys10.1145/295493049:2(1-37)Online publication date: 13-Aug-2016
  • (2013)[Invited Paper] Content Analysis for Home VideosITE Transactions on Media Technology and Applications10.3169/mta.1.911:2(91-100)Online publication date: 2013
  • (2012)Somebody helps meNeurocomputing10.1016/j.neucom.2011.05.04295(60-71)Online publication date: 1-Oct-2012
  • (2009)Using cross-media correlation for scene detection in travel videosProceedings of the ACM International Conference on Image and Video Retrieval10.1145/1646396.1646420(1-7)Online publication date: 8-Jul-2009
  • (2006)Extraction of social context and application to personal multimedia explorationProceedings of the 14th ACM international conference on Multimedia10.1145/1180639.1180857(987-996)Online publication date: 23-Oct-2006

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