TY - GEN
T1 - A Technical Report for Visual Attention Estimation in HMD Challenge
AU - Tsao, Chun
AU - Su, Po Chyi
N1 - Publisher Copyright:
© 2021 IEEE
PY - 2021
Y1 - 2021
N2 - The 360° video, also known as omnidirectional video (ODV), immersive video or spherical video, has become increasing popular and drawn great research attention. To achieve the effectiveness of 360° videos, it is quite important to understand how human perceive and interact with 360° videos so that efficient techniques for their encoding, transmission, and rendering can be developed. The Visual Attention Estimation in HMD (Head Mounted Display) is a competition to encourage contestants to design lightweight models for predicting human eye attention in 360°videos. The models need to not only achieve high accuracy but also have outstanding performance on HMD devices. We employ the approach of ATSal [1] and fine-tune the expert models with the dataset provided in this event to achieve 0.840 AUC-J, 0.476 CC, 3.206 KLC, 1.478 NSS, 0.412 SIM, currently ranked the 1st place in the qualification competition leaderboard.
AB - The 360° video, also known as omnidirectional video (ODV), immersive video or spherical video, has become increasing popular and drawn great research attention. To achieve the effectiveness of 360° videos, it is quite important to understand how human perceive and interact with 360° videos so that efficient techniques for their encoding, transmission, and rendering can be developed. The Visual Attention Estimation in HMD (Head Mounted Display) is a competition to encourage contestants to design lightweight models for predicting human eye attention in 360°videos. The models need to not only achieve high accuracy but also have outstanding performance on HMD devices. We employ the approach of ATSal [1] and fine-tune the expert models with the dataset provided in this event to achieve 0.840 AUC-J, 0.476 CC, 3.206 KLC, 1.478 NSS, 0.412 SIM, currently ranked the 1st place in the qualification competition leaderboard.
KW - 360°videos
KW - HMD
KW - Panoramic videos
KW - Video attention estimation
UR - http://www.scopus.com/inward/record.url?scp=85124222114&partnerID=8YFLogxK
U2 - 10.1109/AIVR52153.2021.00033
DO - 10.1109/AIVR52153.2021.00033
M3 - 會議論文篇章
AN - SCOPUS:85124222114
T3 - Proceedings - 2021 4th IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2021
SP - 143
EP - 144
BT - Proceedings - 2021 4th IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 4th IEEE International Conference on Artificial Intelligence and Virtual Reality, AIVR 2021
Y2 - 15 November 2021 through 17 November 2021
ER -