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Workshops on Applications of Evolutionary Computation

EvoWorkshops 2006: Applications of Evolutionary Computing pp 707–711Cite as

MovieGene: Evolutionary Video Production Based on Genetic Algorithms and Cinematic Properties

  • Conference paper

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3907))

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

  1. Goldberg, D.E.: Genetic Algorithms in Search, Optimization and Machine Learning. Addison-Wesley Longman Publishing Co., Inc., Amsterdam (1989)

    MATH  Google Scholar 

  2. Manjunath, B., Salembier, P., Sikora, T.: Introduction to MPEG-7 Multimedia Content Description Interface. John Wiley & Sons, Ltd., West Sussex (2002)

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  3. 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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Author information

Authors and Affiliations

  1. New University of Lisbon, Caparica, 2829-516, Portugal

    Nuno A. C. Henriques & Nuno Correia

  2. Campinas State University, Campinas, Brazil

    Jônatas Manzolli

  3. University of Lisbon, Lisbon, 1749-016, Portugal

    Luís Correia & Teresa Chambel

Authors
  1. Nuno A. C. Henriques
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  2. Nuno Correia
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  3. Jônatas Manzolli
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  4. Luís Correia
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  5. Teresa Chambel
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Editor information

Editors and Affiliations

  1. Johannes Gutenberg University, Mainz, Germany

    Franz Rothlauf

  2. Institute AIFB, University of Karlsruhe, 76128, Karlsruhe, Germany

    Jürgen Branke

  3. Dipartimento di Ingegneria dell’Informazione, Università di Parma,  

    Stefano Cagnoni

  4. Centre of Informatics and Systems of the University of Coimbra,  

    Ernesto Costa

  5. Dept. LCC, Universidad de Málaga, Spain

    Carlos Cotta

  6. Institute of Computer Science, University of Bremen, 28359, Bremen, Germany

    Rolf Drechsler

  7. INRIA Saclay - Ile-de-France, Parc Orsay Université, 4, rue Jacques Monod, 91893, ORSAY Cedex, France

    Evelyne Lutton

  8. CISUC, Department of Informatics Engineering, University of Coimbra, Polo II of the University of Coimbra, 3030, Coimbra, Portugal

    Penousal Machado

  9. Dartmouth College, Lebanon, NH, USA

    Jason H. Moore

  10. Universidade de A Coruña, CP 15071, A Coruña, Spain

    Juan Romero

  11. School of Computing Sciences, UEA Norwich, University of East Anglia, NR4 7TJ, Norwich, UK

    George D. Smith

  12. Dipartimento di Automatica e Informatica, Politecnico di Torino, Italy

    Giovanni Squillero

  13. Kyushu University, Japan

    Hideyuki Takagi

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© 2006 Springer-Verlag Berlin Heidelberg

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Cite this paper

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

  • eBook Packages: Computer ScienceComputer Science (R0)

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