| Active capture: automatic direction for automatic movies |
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International Multimedia Conference
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Proceedings of the eleventh ACM international conference on Multimedia
table of contents
Berkeley, CA, USA
DEMONSTRATION SESSION: Video demonstration session
table of contents
Pages: 602 - 603
Year of Publication: 2003
ISBN:1-58113-722-2
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Author
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Marc Davis
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University of California at Berkeley, CA
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Downloads (6 Weeks): 2, Downloads (12 Months): 15, Citation Count: 4
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ABSTRACT
Current consumer media production is laborious, tedious, and produces unsatisfying results. To address this problem, Active Capture leverages media production knowledge, computer vision and audition algorithms, and user interaction techniques to automate direction and cinematography and thus enables the automatic production of annotated, high quality, reusable media assets. Active Capture is part of a new computational media production paradigm that transforms media production from a manual mechanical process into an automated computational one that can produce mass customized and personalized media integrating video of non-actors. The implemented system automates the process of capturing a non-actor performing two simple reusable actions ("screaming" and "turning her head to look at the camera") and automatically integrates those shots into various commercials and movie trailers.
REFERENCES
Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.
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M. Davis. Active Capture: Integrating Human-Computer Interaction and Computer Vision/Audition to Automate Media Capture. In: Proceedings of ICME 2003 in Baltimore, Maryland, IEEE Computer Society Press, Vol. II, 185--188, 2003.
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CITED BY 4
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Marc Davis , Simon King , Nathan Good , Risto Sarvas, From context to content: leveraging context to infer media metadata, Proceedings of the 12th annual ACM international conference on Multimedia, October 10-16, 2004, New York, NY, USA
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Motoyuki Ozeki , Shunichi Maeda , Kanako Obata , Yuichi Nakamura, Virtual assistant: an artificial agent for enhancing content acquisition: how ambient media elicit information from humans, Proceeding of the 1st ACM international workshop on Semantic ambient media experiences, October 31-31, 2008, Vancouver, British Columbia, Canada
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INDEX TERMS
Primary Classification:
D.
Software
D.2
SOFTWARE ENGINEERING
D.2.2
Design Tools and Techniques
Additional Classification:
H.
Information Systems
H.1
MODELS AND PRINCIPLES
H.1.2
User/Machine Systems
H.5
INFORMATION INTERFACES AND PRESENTATION (I.7)
H.5.1
Multimedia Information Systems
Subjects:
Video (e.g., tape, disk, DVI);
Audio input/output
H.5.2
User Interfaces (D.2.2, H.1.2, I.3.6)
I.
Computing Methodologies
I.4
IMAGE PROCESSING AND COMPUTER VISION
I.4.9
Applications
J.
Computer Applications
J.5
ARTS AND HUMANITIES
General Terms:
Algorithms,
Design,
Human Factors
Keywords:
active capture,
automated direction,
automatic direction,
automatic movies,
human-in-the-loop,
metadata,
recognition,
video capture
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