MovieGene: evolutionary video production based on genetic algorithms and cinematic properties
Inhaltsverzeichnis
Reference
Nuno A. C. Henriques, Nuno Correia, Jônatas Manzolli, Luís Correia, Teresa Chambel: MovieGene: evolutionary video production based on genetic algorithms and cinematic properties. In: Proceeding EuroGP'06 Proceedings of the 2006 international conference on Applications of Evolutionary Computing, 707-711.
DOI
http://dx.doi.org/10.1007/11732242_67
Abstract
We propose a new multimedia authoring paradigm based on evolutionary computation, video annotation, and cinematic rules. New clips are produced in an evolving population through genetic transformations influenced by user choices, and regulated by cinematic techniques like montage and video editing. The evolutionary mechanisms, through the fitness function will condition how video sequences are retrieved and assembled, based on the video annotations. The system uses several descriptors, as genetic information, coded in an XML document following the MPEG-7 standard. With evolving video, the clips can be explored and discovered through emergent narratives and aesthetics in ways that inspire creativity and learning about the topics that are presented.
Extended Abstract
Bibtex
Used References
Goldberg, D.E.: Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley Longman Publishing Co., Inc., Amsterdam (1989)
Manjunath, B., Salembier, P., Sikora, T.: Introduction to MPEG-7 Multimedia Content Description Interface. John Wiley & Sons, Ltd., West Sussex (2002)
Henriques, N.A.C.: MovieGene: A multimedia production system using evolutionary computation. Master’s thesis, Faculty of Sciences and Technology of the New University of Lisbon (2005)
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