Abstract : In order to enhance viewer experience when watching music videos,
a set of methods for generative music video editing has been developed. These
algorithms use stochastic selection based on user-defined shot characteristics, as
well as temporal constraints to manage narrative structures. The prototype
application is introduced and demonstrated by showing two examples of
software-generated music videos, and the basic concepts behind the algorithms
will be explained.
Type de document :
Communication dans un congrès
Yusuf Pisan; Nikitas M. Sgouros; Tim Marsh. 13th International Conference Entertainment Computing (ICEC), Oct 2014, Sydney, Australia. Springer, Lecture Notes in Computer Science, LNCS-8770, pp.226-228, 2014, Entertainment Computing – ICEC 2014. 〈10.1007/978-3-662-45212-7_30〉
https://hal.inria.fr/hal-01408556
Contributeur : Hal Ifip
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Soumis le : lundi 5 décembre 2016 - 10:17:07
Dernière modification le : lundi 5 décembre 2016 - 10:24:49
Document(s) archivé(s) le : mardi 21 mars 2017 - 12:31:37
Julia Stefan. Generative Methods for Automated Music Video Editing. Yusuf Pisan; Nikitas M. Sgouros; Tim Marsh. 13th International Conference Entertainment Computing (ICEC), Oct 2014, Sydney, Australia. Springer, Lecture Notes in Computer Science, LNCS-8770, pp.226-228, 2014, Entertainment Computing – ICEC 2014. 〈10.1007/978-3-662-45212-7_30〉. 〈hal-01408556〉
