Movie Editing and Cognitive Event Segmentation in Virtual Reality Video

June 13, 2018 Β· Declared Dead Β· πŸ› ACM Transactions on Graphics

πŸ‘» CAUSE OF DEATH: Ghosted
No code link whatsoever

"No code URL or promise found in abstract"

Evidence collected by the PWNC Scanner

Authors Ana Serrano, Vincent Sitzmann, Jaime Ruiz-Borau, Gordon Wetzstein, Diego Gutierrez, Belen Masia arXiv ID 1806.04924 Category cs.GR: Graphics Citations 108 Venue ACM Transactions on Graphics Last Checked 1 month ago
Abstract
Traditional cinematography has relied for over a century on a well-established set of editing rules, called continuity editing, to create a sense of situational continuity. Despite massive changes in visual content across cuts, viewers in general experience no trouble perceiving the discontinuous flow of information as a coherent set of events. However, Virtual Reality (VR) movies are intrinsically different from traditional movies in that the viewer controls the camera orientation at all times. As a consequence, common editing techniques that rely on camera orientations, zooms, etc., cannot be used. In this paper we investigate key relevant questions to understand how well traditional movie editing carries over to VR. To do so, we rely on recent cognition studies and the event segmentation theory, which states that our brains segment continuous actions into a series of discrete, meaningful events. We first replicate one of these studies to assess whether the predictions of such theory can be applied to VR. We next gather gaze data from viewers watching VR videos containing different edits with varying parameters, and provide the first systematic analysis of viewers' behavior and the perception of continuity in VR. From this analysis we make a series of relevant findings; for instance, our data suggests that predictions from the cognitive event segmentation theory are useful guides for VR editing; that different types of edits are equally well understood in terms of continuity; and that spatial misalignments between regions of interest at the edit boundaries favor a more exploratory behavior even after viewers have fixated on a new region of interest. In addition, we propose a number of metrics to describe viewers' attentional behavior in VR. We believe the insights derived from our work can be useful as guidelines for VR content creation.
Community shame:
Not yet rated
Community Contributions

Found the code? Know the venue? Think something is wrong? Let us know!

πŸ“œ Similar Papers

In the same crypt β€” Graphics

R.I.P. πŸ‘» Ghosted

Everybody Dance Now

Caroline Chan, Shiry Ginosar, ... (+2 more)

cs.GR πŸ› ICCV πŸ“š 820 cites 7 years ago
R.I.P. πŸ‘» Ghosted

Animating Human Athletics

Jessica K. Hodgins, Wayne L. Wooten, ... (+2 more)

cs.GR πŸ› SIGGRAPH πŸ“š 765 cites 3 years ago

Died the same way β€” πŸ‘» Ghosted