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Contextual bandit learning-based viewport prediction for 360 video

Joris Heyse (UGent) , Maria Torres Vega (UGent) , Femke De Backere (UGent) and Filip De Turck (UGent)
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Keywords
learning (artificial intelligence), quality of service, video signal processing, video streaming, virtual reality, visual perception, contextual bandit learning-based viewport prediction, 360 video, Virtual Reality application, reinforcement learning, VR services, adaptive tile-based VR streaming testbed, prediction error, perceived video quality, 3D trajectory extrapolation, quality of services, Adaptive 360 video streaming, contextual bandit, VR, Information system, Information systems applications, Multimedia information systems, Multimedia streaming, Human computer interaction (HCI), Interaction paradigms, Virtual reality

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Citation

Please use this url to cite or link to this publication:

MLA
Heyse, Joris, et al. “Contextual Bandit Learning-Based Viewport Prediction for 360 Video.” 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 2019, pp. 972–73.
APA
Heyse, J., Torres Vega, M., De Backere, F., & De Turck, F. (2019). Contextual bandit learning-based viewport prediction for 360 video. In 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) (pp. 972–973). Osaka, Japan.
Chicago author-date
Heyse, Joris, Maria Torres Vega, Femke De Backere, and Filip De Turck. 2019. “Contextual Bandit Learning-Based Viewport Prediction for 360 Video.” In 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 972–73.
Chicago author-date (all authors)
Heyse, Joris, Maria Torres Vega, Femke De Backere, and Filip De Turck. 2019. “Contextual Bandit Learning-Based Viewport Prediction for 360 Video.” In 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), 972–973.
Vancouver
1.
Heyse J, Torres Vega M, De Backere F, De Turck F. Contextual bandit learning-based viewport prediction for 360 video. In: 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR). 2019. p. 972–3.
IEEE
[1]
J. Heyse, M. Torres Vega, F. De Backere, and F. De Turck, “Contextual bandit learning-based viewport prediction for 360 video,” in 2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR), Osaka, Japan, 2019, pp. 972–973.
@inproceedings{8627946,
  author       = {Heyse, Joris and Torres Vega, Maria and De Backere, Femke and De Turck, Filip},
  booktitle    = {2019 IEEE Conference on Virtual Reality and 3D User Interfaces (VR)},
  isbn         = {9781728113777},
  issn         = {2642-5254},
  keywords     = {learning (artificial intelligence),quality of service,video signal processing,video streaming,virtual reality,visual perception,contextual bandit learning-based viewport prediction,360 video,Virtual Reality application,reinforcement learning,VR services,adaptive tile-based VR streaming testbed,prediction error,perceived video quality,3D trajectory extrapolation,quality of services,Adaptive 360 video streaming,contextual bandit,VR,Information system,Information systems applications,Multimedia information systems,Multimedia streaming,Human computer interaction (HCI),Interaction paradigms,Virtual reality},
  language     = {eng},
  location     = {Osaka, Japan},
  pages        = {972--973},
  title        = {Contextual bandit learning-based viewport prediction for 360 video},
  url          = {http://dx.doi.org/10.1109/VR.2019.8797830},
  year         = {2019},
}

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