TY - GEN
T1 - Viewport Prediction Method of 360 VR Video Using Sound Localization Information
AU - Jeong, Eunyoung
AU - You, Dongho
AU - Hyun, Changjong
AU - Seo, Bong Seok
AU - Kim, Namtae
AU - Kim, Dong Ho
AU - Lee, Ye Hoon
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/8/14
Y1 - 2018/8/14
N2 - For 360 VR video, the user's viewport is portion, but the video needs to be sent to 360° spheres. So 360 VR video requires large bandwidth. In this paper, we propose a viewport prediction method to solve this problem. The proposed method predicts the user's viewport by utilizing the location information of the sound sources in 360 VR video. Especially, the proposed method is considered based on MPEG-DASH, and its feasibility is also shown by our head tracking simulation.
AB - For 360 VR video, the user's viewport is portion, but the video needs to be sent to 360° spheres. So 360 VR video requires large bandwidth. In this paper, we propose a viewport prediction method to solve this problem. The proposed method predicts the user's viewport by utilizing the location information of the sound sources in 360 VR video. Especially, the proposed method is considered based on MPEG-DASH, and its feasibility is also shown by our head tracking simulation.
UR - http://www.scopus.com/inward/record.url?scp=85052516001&partnerID=8YFLogxK
U2 - 10.1109/ICUFN.2018.8436981
DO - 10.1109/ICUFN.2018.8436981
M3 - Conference contribution
AN - SCOPUS:85052516001
SN - 9781538646465
T3 - International Conference on Ubiquitous and Future Networks, ICUFN
SP - 679
EP - 681
BT - ICUFN 2018 - 10th International Conference on Ubiquitous and Future Networks
PB - IEEE Computer Society
T2 - 10th International Conference on Ubiquitous and Future Networks, ICUFN 2018
Y2 - 3 July 2018 through 6 July 2018
ER -