Predicting Moves-on-Stills for Comic Art Using Viewer Gaze Data
| Eakta Jain | Yaser Sheikh | Jessica Hodgins |
IEEE Computer Graphics and Applications (July-August 2016)
Comic art consists of a sequence of panels of different shapes and sizes that visually communicate the narrative to the reader. The move-on-stills technique allows such still images to be retargeted for digital displays via camera moves. Today, moves-on-stills can be created by software applications given user-provided parameters for each desired camera move. The proposed algorithm uses viewer gaze as input to computationally predict camera move parameters. The authors demonstrate their algorithm on various comic book panels and evaluate its performance by comparing their results with a professional DVD.
Eakta Jain, Yaser Sheikh, Jessica Hodgins (July-August 2016). Predicting Moves-on-Stills for Comic Art Using Viewer Gaze Data. IEEE Computer Graphics and Applications, 36(4).
@article{Hodgins:2017:DOE,
author={Eakta Jain, Yaser Sheikh, Jessica Hodgins},
title={Predicting Moves-on-Stills for Comic Art Using Viewer Gaze Data},
journal={IEEE Computer Graphics and Applications},
volume={36},
number={4},
year={July-August 2016},
