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Tracking users' capture intention: a novel complementary view for home video content analysis

Published: 06 November 2005 Publication History

Abstract

In this paper, we present a novel view to home video content analysis, which aims at tracking the capture intention of camcorder users. Based on the study of intention mechanism in psychology, a set of domain-specific capture intention concepts are defined. A comprehensive and extensible scheme consisting of video structuring, intention oriented feature analysis, as well as intention unit segmentation and classification is proposed to mine the users' capture intention. Experiments were carried on home video sequences of 90 hours in total, taken by 16 persons in recent 20 years. Both the user study and objective evaluations indicate that our proposed intention-based approach is an effective complement to existing home video content analysis schemes.

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Cited By

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  • (2014)Intentional Process MiningInternational Journal of Information System Modeling and Design10.4018/ijismd.20141001025:4(22-47)Online publication date: 1-Oct-2014
  • (2008)Re-cinematographyACM Transactions on Multimedia Computing, Communications, and Applications10.1145/1404880.14048825:1(1-28)Online publication date: 30-Oct-2008
  • (2007)User-adaptive home video summarization using personal photo librariesProceedings of the 6th ACM international conference on Image and video retrieval10.1145/1282280.1282349(472-479)Online publication date: 9-Jul-2007
  • Show More Cited By

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

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Cited By

View all
  • (2014)Intentional Process MiningInternational Journal of Information System Modeling and Design10.4018/ijismd.20141001025:4(22-47)Online publication date: 1-Oct-2014
  • (2008)Re-cinematographyACM Transactions on Multimedia Computing, Communications, and Applications10.1145/1404880.14048825:1(1-28)Online publication date: 30-Oct-2008
  • (2007)User-adaptive home video summarization using personal photo librariesProceedings of the 6th ACM international conference on Image and video retrieval10.1145/1282280.1282349(472-479)Online publication date: 9-Jul-2007
  • (2007)An efficient automatic video shot size annotation schemeProceedings of the 13th international conference on Multimedia Modeling - Volume Part I10.1007/978-3-540-69423-6_63(649-658)Online publication date: 9-Jan-2007
  • (2006)Video summarization using personal photo librariesProceedings of the 8th ACM international workshop on Multimedia information retrieval10.1145/1178677.1178707(213-222)Online publication date: 26-Oct-2006
  • (2005)To learn representativeness of video framesProceedings of the 13th annual ACM international conference on Multimedia10.1145/1101149.1101242(423-426)Online publication date: 6-Nov-2005
  • (2005)Personal media sharing and authoring on the webProceedings of the 13th annual ACM international conference on Multimedia10.1145/1101149.1101229(375-378)Online publication date: 6-Nov-2005

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