User-Adaptive Rotational Snap-Cutting for Streamed 360º Videos

dc.contributor.authorRondón, Miguel Fabian Romeroen_US
dc.contributor.authorSassatelli, Lucileen_US
dc.contributor.authorPardo, Ramon Aparicioen_US
dc.contributor.authorPrecioso, Frédéricen_US
dc.contributor.editorChristie, Marc and Wu, Hui-Yin and Li, Tsai-Yen and Gandhi, Vineeten_US
dc.date.accessioned2020-05-24T13:14:07Z
dc.date.available2020-05-24T13:14:07Z
dc.date.issued2020
dc.description.abstractDesigning editing cuts for cinematic Virtual Reality (VR) has been under active investigation. Recently, the connection has been made between cuts in VR and adaptive streaming logics for 360º videos, with the introduction of rotational snap-cuts. Snapcuts can benefit the user's experience both by improving the streamed quality in the FoV and ensuring the user sees important elements for the plot. However, snap-cuts should not be too frequent and may be avoided when not beneficial to the streamed quality. We formulate the dynamic decision problem of snap-change triggering as a model-free Reinforcement Learning. We express the optimum cut triggering decisions computed offline with dynamic programming and investigate possible gains in quality of experience compared to baselines. We design Imitation Learning-based dynamic triggering strategies, and show that only knowing the past user's motion and video content, it is possible to outperform the controls without and with all cuts.en_US
dc.description.sectionheadersMorning Session
dc.description.seriesinformationWorkshop on Intelligent Cinematography and Editing
dc.identifier.doi10.2312/wiced.20201125
dc.identifier.isbn978-3-03868-127-4
dc.identifier.issn2411-9733
dc.identifier.pages1-8
dc.identifier.urihttps://doi.org/10.2312/wiced.20201125
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/wiced20201125
dc.publisherThe Eurographics Associationen_US
dc.subjectComputing methodologies
dc.subjectVirtual reality
dc.subjectSequential decision making
dc.subjectApprenticeship learning
dc.subjectInformation systems
dc.subjectMultimedia streaming
dc.titleUser-Adaptive Rotational Snap-Cutting for Streamed 360º Videosen_US
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