Generative Methods for Automated Music Video Editing

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.
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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〉
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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〉

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