TY - GEN
T1 - Performance Evaluations of Tile-based 360-degree DASH Streaming with Clustering-based Viewport Prediction
AU - Shinohara, Yuya
AU - Shirasaki, Satomi
AU - Wu, Yiyan
AU - Kanai, Kenji
AU - Katto, Jiro
N1 - Funding Information:
This work was supported by the EU-JAPAN initiative by the EC Horizon 2020 Work Programme (2018-2020) Grant Agreement No.814918 and Ministry of Internal Affairs and Communications “Federating IoT and cloud infrastructures to provide scalable and interoperable Smart Cities applications, by introducing novel IoT virtualization technologies (Fed4IoT)”.
Publisher Copyright:
© 2019 IEEE.
PY - 2019/5
Y1 - 2019/5
N2 - Recently, the demand for immersive VR (360-degree) video delivery is increasing, and an efficient (high quality and low traffic) 360-degree video streaming methodology is mandatory. To address this fact, in this paper, we introduce a tile-based 360-degree DASH streaming with viewport prediction. We evaluate the prediction accuracy of future viewport movement patterns by using clustering and image and audio information. In addition, we perform rate adaptation based on viewport prediction results. Through evaluations, we confirm the tile-based 360-degree DASH streaming achieves higher objective image quality and lower total video traffic volume.
AB - Recently, the demand for immersive VR (360-degree) video delivery is increasing, and an efficient (high quality and low traffic) 360-degree video streaming methodology is mandatory. To address this fact, in this paper, we introduce a tile-based 360-degree DASH streaming with viewport prediction. We evaluate the prediction accuracy of future viewport movement patterns by using clustering and image and audio information. In addition, we perform rate adaptation based on viewport prediction results. Through evaluations, we confirm the tile-based 360-degree DASH streaming achieves higher objective image quality and lower total video traffic volume.
UR - http://www.scopus.com/inward/record.url?scp=85080112400&partnerID=8YFLogxK
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U2 - 10.1109/ICCE-TW46550.2019.8991815
DO - 10.1109/ICCE-TW46550.2019.8991815
M3 - Conference contribution
AN - SCOPUS:85080112400
T3 - 2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019
BT - 2019 IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 6th IEEE International Conference on Consumer Electronics - Taiwan, ICCE-TW 2019
Y2 - 20 May 2019 through 22 May 2019
ER -