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OpenKinoAI: A Framework for Intelligent Cinematography and Editing of Live Performances

Rémi Ronfard 1 Rémi Colin de Verdière 1 
1 ANIMA - Authoring and directing story worlds
Inria Grenoble - Rhône-Alpes, LJK - Laboratoire Jean Kuntzmann, Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology
Abstract : OpenKinoAI is an open source framework for postproduction of ultra-high definition video, which makes it possible to emulate professional multiclip editing techniques for the case of single-camera recordings. OpenKinoAI includes tools for uploading raw video footage of live performances on a remote web server; detecting, tracking, and recognizing the performers in the original material; reframing the raw video into a large choice of cinematographic rushes; editing the rushes into movies; and annotating rushes and movies for documentation purposes. OpenKinoAI is made available to promote research in multiclip video editing of ultra-high definition video and to allow performing artists and companies to use this research for archiving, documenting, and sharing their work online in an innovative fashion.
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https://hal.inria.fr/hal-03778661
Contributor : Rémi Ronfard Connect in order to contact the contributor
Submitted on : Friday, September 30, 2022 - 10:11:02 AM
Last modification on : Tuesday, October 25, 2022 - 4:25:11 PM

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Rémi Ronfard, Rémi Colin de Verdière. OpenKinoAI: A Framework for Intelligent Cinematography and Editing of Live Performances. Leonardo, 2022, 55 (4), pp.373-377. ⟨10.1162/leon_a_02226⟩. ⟨hal-03778661⟩

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