Framework for script based virtual directing and multimedia authoring in live video streaming

Xu, RYD; Jin, JS; Allen, JG

Framework for script based virtual directing and multimedia authoring in live video streaming

Xu, RYD Jin, JS Allen, JG

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Publication Type:: Conference Proceeding
Citation:: Proceedings of the 11th International Multimedia Modelling Conference, MMM 2005, 2005, pp. 427 - 432
Issue Date:: 2005-12-01

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Field	Value	Language
dc.contributor.author	Xu, RYD	en_US
dc.contributor.author	Jin, JS	en_US
dc.contributor.author	Allen, JG	en_US
dc.date.issued	2005-12-01	en_US
dc.identifier.citation	Proceedings of the 11th International Multimedia Modelling Conference, MMM 2005, 2005, pp. 427 - 432	en_US
dc.identifier.isbn	0769521649	en_US
dc.identifier.isbn	9780769521640	en_US
dc.identifier.uri	http://hdl.handle.net/10453/2640
dc.description.abstract	We propose a novel framework that facilitates automatic editing and authoring of multimedia using static and moving cameras in a dynamic scene. The framework incorporates several video techniques such as object tracking using mean shift and object recognition using Scaled Invariant Feature Transform (SIFT). These techniques are linked together by a comprehensive yet simple-to-program script authoring mechanism based on video event detection. These combined features empower the system to play a virtual director role in live video stream editing and multimedia integration. The system requires minimum human intervention and can leverage production efficiency for both novice and professional users. The experimental results from our prototype system demonstrate that this framework is achievable using inexpensive hardware and standard video cameras. Our system provides comprehensive pre-production authoring capabilities that lend towards integration of video and heterogonous multimedia elements in realtime. We have found this framework to be useful in many applications such as live video streaming, distance education, live entertainment, sports coverage and personal video broadcasting. © 2005 IEEE.	en_US
dc.relation.ispartof	Proceedings of the 11th International Multimedia Modelling Conference, MMM 2005	en_US
dc.relation.isbasedon	10.1109/MMMC.2005.41	en_US
dc.title	Framework for script based virtual directing and multimedia authoring in live video streaming	en_US
dc.type	Conference Proceeding
utslib.for	080602 Computer-Human Interaction	en_US
dc.location.activity	Melbourne, Australia	en_US
pubs.embargo.period	Not known	en_US
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Business
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
pubs.organisational-group	/University of Technology Sydney/Strength - GBDTC - Global Big Data Technologies
pubs.organisational-group	/University of Technology Sydney/Strength - INEXT - Innovation in IT Services and Applications
utslib.copyright.status	closed_access
pubs.publication-status	Published	en_US

Abstract:

We propose a novel framework that facilitates automatic editing and authoring of multimedia using static and moving cameras in a dynamic scene. The framework incorporates several video techniques such as object tracking using mean shift and object recognition using Scaled Invariant Feature Transform (SIFT). These techniques are linked together by a comprehensive yet simple-to-program script authoring mechanism based on video event detection. These combined features empower the system to play a virtual director role in live video stream editing and multimedia integration. The system requires minimum human intervention and can leverage production efficiency for both novice and professional users. The experimental results from our prototype system demonstrate that this framework is achievable using inexpensive hardware and standard video cameras. Our system provides comprehensive pre-production authoring capabilities that lend towards integration of video and heterogonous multimedia elements in realtime. We have found this framework to be useful in many applications such as live video streaming, distance education, live entertainment, sports coverage and personal video broadcasting. © 2005 IEEE.

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http://hdl.handle.net/10453/2640