Our Content: Generative Montage Methods for Multimedia Data

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