Our Content: Generative Montage Methods for Multimedia Data

Amitani, S; Bilda, Z; Hills, DL; Edmonds, EA

Our Content: Generative Montage Methods for Multimedia Data

Amitani, S Bilda, Z Hills, DL Edmonds, EA

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Publisher:: IEEE Computer Society
Publication Type:: Conference Proceeding
Citation:: Proceedings of the 4th Int Conference on Internet and Web Application Services ICIW 2009, 2009, pp. 655 - 660
Issue Date:: 2009-01

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Field	Value	Language
dc.contributor.author	Amitani, S	en_US
dc.contributor.author	Bilda, Z	en_US
dc.contributor.author	Hills, DL	en_US
dc.contributor.author	Edmonds, EA	en_US
dc.contributor.editor	Sasaki, H	en_US
dc.contributor.editor	Ehmann, M	en_US
dc.contributor.editor	Bellot, GO	en_US
dc.contributor.editor	Dini, O	en_US
dc.date	2009-05-24	en_US
dc.date.issued	2009-01	en_US
dc.identifier.citation	Proceedings of the 4th Int Conference on Internet and Web Application Services ICIW 2009, 2009, pp. 655 - 660	en_US
dc.identifier.isbn	978-0-7695-3613-2	en_US
dc.identifier.uri	http://hdl.handle.net/10453/11924
dc.description.abstract	This paper presents the latest results from our project âOur Contentâ which aims to develop systems that generate meaningful sequences of information out of existing information. The Our Content engine is rather like an automated editor that generates meaningful output by combining the content provided by audiences in an interesting and stimulating way. We explain the developed algorithm and an application âgenerative websiteâ where public audiences can post their own contents such as videos and then the website automatically generates meaningful sequences of videos.	en_US
dc.publisher	IEEE Computer Society	en_US
dc.relation.ispartof	Proceedings of the 4th Int Conference on Internet and Web Application Services ICIW 2009	en_US
dc.relation.ispartof	International Conference on Internet and Web Applications and Services ICIW	en_US
dc.relation.isbasedon	10.1109/ICIW.2009.105	en_US
dc.rights	© 2009 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.title	Our Content: Generative Montage Methods for Multimedia Data	en_US
dc.type	Conference Proceeding
utslib.location	Danvers, MA, USA	en_US
utslib.location.activity	Venice, Italy	en_US
utslib.for	080602 Computer-Human Interaction	en_US
utslib.for	190205 Interactive Media	en_US
dc.location.activity	Venice, Italy	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 Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Software
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Systems, Management and Leadership
pubs.organisational-group	/University of Technology Sydney/Strength - HCTD - Human Centred Technology Design
utslib.copyright.status	closed_access
pubs.consider-herdc	true	en_US
pubs.place-of-publication	Danvers, MA, USA	en_US
pubs.start-date	2009-05-24	en_US

Abstract:

This paper presents the latest results from our project âOur Contentâ which aims to develop systems that generate meaningful sequences of information out of existing information. The Our Content engine is rather like an automated editor that generates meaningful output by combining the content provided by audiences in an interesting and stimulating way. We explain the developed algorithm and an application âgenerative websiteâ where public audiences can post their own contents such as videos and then the website automatically generates meaningful sequences of videos.

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http://hdl.handle.net/10453/11924