ACM Home Page
Please provide us with feedback. Feedback
Adaptive acceleration and shot stacking for video rushes summarization
Full text PdfPdf (1.01 MB)
Source
International Multimedia Conference archive
Proceedings of the 2nd ACM TRECVid Video Summarization Workshop table of contents
Vancouver, British Columbia, Canada
Pages 109-113  
Year of Publication: 2008
ISBN:978-1-60558-309-9
Authors
Marcin Detyniecki  Université Pierre et Marie Curie Paris 6, Paris, France
Christophe Marsala  Université Pierre et Marie Curie Paris 6, Paris, France
Sponsors
SIGMULTIMEDIA: ACM Special Interest Group on Multimedia
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 5,   Downloads (12 Months): 44,   Citation Count: 1
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1463563.1463583
What is a DOI?

ABSTRACT

As the amount of recorded video data continually increases, a lot of teams around the world work to propose original methods on automatic video summarization. A particular kind of video is a rush: a rough draft of a movie or a documentary. In this paper, an approach is proposed to summarize the BBC rushes within the scope of the 2008 TREC Video Retrieval Evaluation task. We propose to summarize the videos by applying two successive steps, each dealing with a particular reduction. First, the stacking step focuses on the reduction of the macro redundancy with respect to similar takes of the same scene (rushes). The second step focuses on the time redundancy of the video flow and can be interpreted as an adaptive acceleration.

This approach provides good inclusion rates.




Collaborative Colleagues:
Marcin Detyniecki: colleagues
Christophe Marsala: colleagues