@inproceedings{f4d96ff7e46443528acd75a3f1f9a4ec,
title = "Implementing Viewport Tile Extractor for Viewport-Adaptive 360-Degree Video Tiled Streaming",
abstract = "Because 360-degree video streaming has become significantly popular in the field of virtual reality, the viewport-adaptive tiled streaming technology for 360-degree video is emerging. This paper presents a viewport tile extractor (VTE) that is implemented on high-efficiency video coding (HEVC). The VTE extracts multiple tiles that represent the viewport of a user and merges them into one bitstream. The proposed system transmits the bitstream of high-quality tiles and the low-quality video bitstream of entire area to reduce both latency and bandwidth. The proposed method shows more than 16.98\% of bjontegaard delta rate saving in terms of the luma peak signal-to-noise ratio, compared with the HEVC-compliant streaming method. Additionally, compared with the existing tiled streaming method, it achieves 66.16\% and 69.79\% saving of decoding memory and time consumption, respectively.",
keywords = "360-degree video, HEVC, MCTS, Viewport-adaptive streaming, Virtual reality",
author = "Jeong, \{Jong Beom\} and Soonbin Lee and Inae Kim and Ryu, \{Eun Seok\}",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 35th International Conference on Information Networking, ICOIN 2021 ; Conference date: 13-01-2021 Through 16-01-2021",
year = "2021",
month = jan,
day = "13",
doi = "10.1109/ICOIN50884.2021.9333964",
language = "English",
series = "International Conference on Information Networking",
publisher = "IEEE Computer Society",
pages = "8--12",
booktitle = "35th International Conference on Information Networking, ICOIN 2021",
}