Online Training-Oriented Video Shooting Navigation System Based on Real-Time Camerawork Evaluation

Masahito Kumano, K. Uehara, Y. Ariki
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引用次数: 13

Abstract

In this paper, we propose an online training-oriented video shooting navigation system focused on camerawork based on video grammar by real-time camerawork evaluation to train users shooting nice shots for the later editing work. In this system, the processing speed must be very high so that we use a luminance projection correlation and a structure tensor method to extract the camerawork parameters in real-time. From the results of camerawork analysis, the results of each frame are classified into 7 camerawork types and the system issues 6 types of alarms and navigates users along the specified shot depending on camerawork based on video grammar in real-time while shooting the shot. Thereby, users can naturally acquire shooting style by trying to decrease alarms of improper camerawork without a consideration of the video grammar
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基于实时摄像评价的在线培训视频拍摄导航系统
本文提出了一种基于视频语法的以视频为核心的在线培训视频拍摄导航系统,通过对视频的实时评价,训练用户拍摄出好看的视频,为后期的编辑工作做准备。在该系统中,处理速度要求很高,因此我们采用亮度投影相关法和结构张量法实时提取相机参数。从镜头分析的结果来看,将每一帧的结果划分为7种镜头类型,在拍摄镜头的同时,系统根据视频语法实时发出6种类型的报警,并根据指定的镜头为用户导航。因此,用户可以在不考虑视频语法的情况下,通过尽量减少拍摄不当的报警,自然地获得拍摄风格
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