Attention-based video reframing: Validation using eye-tracking

Watching TV shows on cell phones is starting to become a reality. Nevertheless, there still exist some significant issues due to the small size of cell phone screens. The direct transfer of contents that are not specifically shot for the mobile device will provide indistinguishable objects. An automated way, delivering the best viewing experience is proposed in this paper. This solution significantly improves the visual comfort, by zooming in on the regions of interest. The relevance of this solution rests on its capability to preserve the visually important areas as well as the temporal stability. Eye-tracking experiments are one metric to assess the reframing quality. Involving 16 observers, they show that more than 90% of the visually important regions are kept in the reframed clip.