360 video DASH dataset
| dc.contributor.author | Raca, Darijo | en |
| dc.contributor.author | Jadhav, Yogita | en |
| dc.contributor.author | Quinlan, Jason J. | en |
| dc.contributor.author | Zahran, Ahmed H. | en |
| dc.contributor.funder | Science Foundation Ireland | en |
| dc.date.accessioned | 2023-08-08T13:37:01Z | |
| dc.date.available | 2023-08-08T13:37:01Z | |
| dc.date.issued | 2023-06-08 | en |
| dc.description.abstract | Different industries are observing the positive impact of 360 video on the user experience. However, the performance of VR systems continues to fall short of customer expectations. Therefore, more research into various design elements for VR streaming systems is required. This study introduces a SW tool that offers straight-forward encoding platforms to simplify the encoding of DASH VR videos. In addition, we developed a dataset composed of 9 VR videos encoded with seven tiling configurations, four segment durations, and up to four different bitrates. A corresponding tile size dataset is also provided, which can be utilised to power network simulations or trace-driven emulations. We analysed the traffic load of various films and encoding setups using the dataset that was presented. Our research indicates that, while smaller tile sizes reduce traffic load, video decoding may require more computational power. | en |
| dc.description.status | Peer reviewed | en |
| dc.description.version | Accepted Version | en |
| dc.format.mimetype | application/pdf | en |
| dc.identifier.citation | Raca, D., Jadhav, Y., Quinlan, J. J. and Zahran, A. H. (2023) '360 video DASH dataset', MMSys '23: Proceedings of the 14th Conference on ACM Multimedia Systems, Vancouver BC, Canada, 7-10 June, pp. 391-396. doi: 10.1145/3587819.3592548 | en |
| dc.identifier.doi | 10.1145/3587819.3592548 | en |
| dc.identifier.endpage | 396 | en |
| dc.identifier.isbn | 979-8-4007-0148-1 | en |
| dc.identifier.startpage | 391 | en |
| dc.identifier.uri | https://hdl.handle.net/10468/14796 | |
| dc.language.iso | en | en |
| dc.publisher | Association for Computing Machinery | en |
| dc.relation.ispartof | Proceedings of the 14th Conference on ACM Multimedia Systems | en |
| dc.rights | © 2023. Copyright held by the owner/authors. Publication rights licensed to ACM. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in MMSys '23: Proceedings of the 14th Conference on ACM Multimedia Systems, http://dx.doi.org/10.1145/3587819.3592548 | en |
| dc.subject | Virtual reality | en |
| dc.subject | DASH | en |
| dc.subject | HEVC | en |
| dc.subject | Adaptive video streaming | en |
| dc.title | 360 video DASH dataset | en |
| dc.type | Conference item | en |
