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.
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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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© 2006 Springer-Verlag Berlin Heidelberg
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Henriques, N.A.C., Correia, N., Manzolli, J., Correia, L., Chambel, T. (2006). MovieGene: Evolutionary Video Production Based on Genetic Algorithms and Cinematic Properties. In: Rothlauf, F., et al. Applications of Evolutionary Computing. EvoWorkshops 2006. Lecture Notes in Computer Science, vol 3907. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11732242_67
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DOI: https://doi.org/10.1007/11732242_67
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-33237-4
Online ISBN: 978-3-540-33238-1
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