DC's Dataset

Director’s Cut

We are sharing the Director’s Cut database, a combined dataset for visual attention analysis in cinematic VR content. This page contains materials and related papers for the Director’s Cut research.
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We analyzed how end-users view 360° video in the presence of directional cues and evaluate if they are able to follow the actual story of narrative 360° films.

Number of Videos: 8

Number of Director's Cuts: 8

Number of Scan-paths: 20 per video

Plot points and directional cues

Abstract

Director's Cut Similarity Map
Left: 360° Sphere with user viewport and Director's Cut (DC) viewport, right: Director's Cut Similarity Map

 

Methods of storytelling in cinema have well established conventions that have been built over the course of its history and the development of the format. In 360° film, many of the techniques that have formed part of this cinematic language or visual narrative are not easily applied or are not applicable due to the nature of the format i.e. not contained the border of the screen.

In this work, we analyzed how end-users view 360° video in the presence of directional cues and evaluate if they are able to follow the actual story of narrative 360° films. We first let filmmakers create an intended scan-path, the so-called director’s cut, by setting position markers in the equirectangular representation of the omnidirectional content for eight short 360° films. Alongside this, the filmmakers provided additional information regarding directional cues and plot points. Then, we performed a subjective test with 20 participants watching the films with a head-mounted display and recorded the center position of the viewports. The resulting scan-paths of the participants are then compared against the director’s cut using different scan-path similarity measures. In order to better visualize the similarity between the scan-paths, we introduce a new metric which measures and visualizes the viewport overlap between the participants’ scan-paths and the director’s cut. Finally, the entire dataset, i.e. the director’s cuts including the directional cues and plot points as well as the scan-paths of the test subjects, is publicly available here.

Acknowledgement

We would like to thank the VR filmmakers Angus Cameron, Soenke Kirchhof, Josef Kluger, Declan Dowling and Jack Morrow for fruitful discussions, their great support by providing the Director’s Cuts for their VR films and for their feedback to develop the DCS maps.

This publication has emanated from research conducted with the financial support of Science Foundation Ireland (SFI) under the Grant Number 15/RP/2776.

Publications

List of relevant publications

Director’s Cut - Analysis of Aspects of Interactive Storytelling for VR Films

Colm O. Fearghail, Cagri Ozcinar, Sebastian Knorr, Aljosa Smolic
International Conference on Interactive Digital Storytelling (ICIDS 2018)

To explore methods that are currently used by professional virtual reality (VR) filmmakers to tell their stories and guide users, we analyze how end-users view video in the presence of directional cues and evaluate if they are able to follow the actual story of narrative films.

Director’s Cut - A Combined Dataset for Visual Attention Analysis in Cinematic VR Content

Sebastian Knorr, Cagri Ozcinar, Colm O Fearghail, Aljosa Smolic
15th ACM SIGGRAPH European Conference on Visual Media Production (CVMP 2018)

In this paper, we analyze how end-users view 360° video in the presence of directional cues and evaluate if they are able to follow the actual story of narrative 360° films. We let filmmakers create an intended scan-path, the so called director's cut. The entire dataset, i.e. the director's cuts including the directional cues and plot points as well as the scan-paths of the test subjects, is publicly available with this paper.

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