计算机科学
凝视
眼动
框架(结构)
视频编辑
人机交互
眼球运动
图像编辑
人工智能
多媒体
图像(数学)
结构工程
工程类
作者
Alexandre Bruckert,Marc Christie,Olivier Le Meur
标识
DOI:10.3758/s13428-022-01949-7
摘要
In the process of making a movie, directors constantly care about where the spectator will look on the screen. Shot composition, framing, camera movements, or editing are tools commonly used to direct attention. In order to provide a quantitative analysis of the relationship between those tools and gaze patterns, we propose a new eye-tracking database, containing gaze-pattern information on movie sequences, as well as editing annotations, and we show how state-of-the-art computational saliency techniques behave on this dataset. In this work, we expose strong links between movie editing and spectators gaze distributions, and open several leads on how the knowledge of editing information could improve human visual attention modeling for cinematic content. The dataset generated and analyzed for this study is available at https://github.com/abruckert/eye_tracking_filmmaking
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