论文标题

Openkinoai:智能摄影和现场表演编辑的开源框架

OpenKinoAI: An Open Source Framework for Intelligent Cinematography and Editing of Live Performances

论文作者

Ronfard, Rémi, de Verdière, Rémi Colin

论文摘要

OpenKinoai是用于后期制作超高清视频的开源框架,它使得可以为单个相机录音的情况模仿专业的多层剪辑技术。 OpenKinoai包括用于在远程Web服务器上上传现场表演的原始视频镜头的工具,检测,跟踪和识别原始材料中的表演者,将原始视频重新标记为大量的摄影般的兴起,将匆忙的速度编辑为电影,并注释了匆忙和电影的文档目的。 Openkinoai可用于在超高清视频的多片段视频编辑中促进研究,并允许表演艺术家和公司使用这项研究以创新的方式归档,记录和分享其作品。

OpenKinoAI is an open source framework for post-production 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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