  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
scanpaths, and open several leads on how the knowledge of editing information
could improve human visual attention modeling for cinematic content. The
dataset generated and analysed during the current study is available at
https://github.com/abruckert/eye_tracking_filmmaking
