Video Coding and Streaming for Virtual Reality

@inproceedings{Croci2019,
title = {Voronoi-based Objective Quality Metrics for Omnidirectional Video},
author = {Simone Croci and Cagri Ozcinar and Emin Zerman and Julian Cabrera and Aljosa Smolic},
url = {https://v-sense.scss.tcd.ie/research/voronoi-based-objective-metrics/
https://v-sense.scss.tcd.ie/wp-content/uploads/2019/03/QoMEX2019.pdf},
year = {2019},
date = {2019-06-06},
booktitle = {11th International Conference on Quality of Multimedia Experience (QoMEX 2019)},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{Ozcinar2018b,
title = {Omnidirectional Video Streaming Using Visual Attention-Driven Dynamic Tiling for VR},
author = {Cagri Ozcinar and Julian Cabrera and Aljosa Smolic},
url = {https://v-sense.scss.tcd.ie/wp-content/uploads/2019/03/VCIP_2018.pdf
https://v-sense.scss.tcd.ie/research/3dof/360-degree-video-coding-and-streaming-for-virtual-reality/},
year = {2018},
date = {2018-12-09},
booktitle = {IEEE International Conference on Visual Communications and Image Processing (VCIP) 2018},
address = {Taichung, Taiwan},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{Ozcinar2018c,
title = {Viewport-aware omnidirectional video streaming using visual attention and dynamic tiles},
author = {Cagri Ozcinar and Julian Cabrera and Aljosa Smolic},
url = {https://v-sense.scss.tcd.ie/wp-content/uploads/2019/03/EUVIP_2018_co.pdf
https://v-sense.scss.tcd.ie/?p=519},
year = {2018},
date = {2018-11-27},
booktitle = {7-th European Workshop on Visual Information Processing (EUVIP) 2018},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{OzcinarISM2017,
title = {Estimation of optimal encoding ladders for tiled 360° VR video in adaptive streaming systems},
author = { Cagri Ozcinar and Ana De Abreu and Sebastian Knorr and Aljosa Smolic},
url = {https://v-sense.scss.tcd.ie/wp-content/uploads/2018/02/ISM_2017_pcopy.pdf
http://ieeexplore.ieee.org/document/8241580/
https://arxiv.org/pdf/1711.03362.pdf
https://www.researchgate.net/publication/320274287_Estimation_of_Optimal_Encoding_Ladders_for_Tiled_360_VR_Video_in_Adaptive_Streaming_Systems?tab=overview},
year = {2017},
date = {2017-12-11},
booktitle = {The 19th IEEE International Symposium on Multimedia (ISM 2017)},
address = {Taichung, Taiwan},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}

@inproceedings{Ozcinar2017,
title = {Viewport-aware adaptive 360° video streaming using tiles for virtual reality},
author = { Cagri Ozcinar and Ana De Abreu and Aljosa Smolic},
url = {https://www.researchgate.net/publication/316990176_VIEWPORT-AWARE_ADAPTIVE_360_VIDEO_STREAMING_USING_TILES_FOR_VIRTUAL_REALITY
http://ieeexplore.ieee.org/document/8296667/
https://arxiv.org/pdf/1711.02386.pdf

},
doi = {10.1109/ICIP.2017.8296667},
isbn = {2381-8549},
year = {2017},
date = {2017-09-30},
booktitle = {2017 IEEE International Conference on Image Processing (ICIP)},
pages = {2174-2178},
address = {Beijing, China},
abstract = {360◦ video is attracting an increasing amount of atten- tion in the context of Virtual Reality (VR). Owing to its very high-resolution requirements, existing professional stream- ing services for 360◦ video suffer from severe drawbacks. This paper introduces a novel end-to-end streaming system from encoding to displaying, to transmit 8K resolution 360◦ video and to provide an enhanced VR experience using Head Mounted Displays (HMDs). The main contributions of the proposed system are about tiling, integration of the MPEG- Dynamic Adaptive Streaming over HTTP (DASH) standard, and viewport-aware bitrate level selection. Tiling and adap- tive streaming enable the proposed system to deliver very high-resolution 360◦ video at good visual quality. Further, the proposed viewport-aware bitrate assignment selects an optimum DASH representation for each tile in a viewport-aware manner. The quality performance of the proposed system is verified in simulations with varying network band- width using realistic view trajectories recorded from user experiments. Our results show that the proposed streaming system compares favorably compared to existing methods in terms of PSNR and SSIM inside the viewport.
Our streaming system is available as an open source library .},
keywords = {},
pubstate = {published},
tppubtype = {inproceedings}
}