360-Degree Video Head Movement Dataset

Xavier Corbillon (1, 2) , Francesca de Simone (3) , Gwendal Simon (1, 2)

1 ADOPNET - Advanced technologies for operated networks
2 IMT Atlantique - SRCD - Département Systèmes Réseaux, Cybersécurité et Droit du numérique
3 EPFL - Ecole Polytechnique Fédérale de Lausanne

While Virtual Reality applications are increasingly attracting the attention of developers and business analysts, the behaviour of users watching 360-degree (i.e. omnidirectional) videos has not been thoroughly studied yet. This paper introduces a dataset of head movements of users watching 360-degree videos on a Head-Mounted Display (HMD). The dataset includes data collected from 59 users watching five 70 s-long 360-degree videos on the Razer OSVR HDK2 HMD. The selected videos span a wide range of 360-degree content for which different viewer's involvement, thus navigation patterns, could be expected. We describe the open-source software developed to produce the dataset and present the test material and viewing conditions considered during the data acquisition. Finally, we show some examples of statistics that can be extracted from the collected data, for a content-dependent analysis of users' navigation patterns. The source code of the software used to collect the data has been made publicly available, together with the entire dataset, to enable the community to extend the dataset.

Mots clés: 360-degree Video; Omnidirectional Video; Head Mounted Display; Virtual Reality; Focus of Attention

Domaines: Multimédia [cs.MM]

Xavier Corbillon, Francesca de Simone, Gwendal Simon. 360-Degree Video Head Movement Dataset. MMSys 2017: 8th ACM on Multimedia Systems Conference, Jun 2017, Taipei, Taiwan. pp.199-204, ⟨10.1145/3083187.3083215⟩. ⟨hal-01597830⟩