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Author:

Nguyen Anh1,Yan Zhisheng1,Nahrstedt Klara2

Affiliation:

1. Georgia State University, Atlanta, GA, USA

2. University of Illinois at Urbana-Champaign, Urbana-Champaign, IL, USA

Publisher

ACM

Reference40 articles.

1. Predicting head trajectories in 360° virtual reality videos

2. Zoya Bylinskii Tilke Judd Aude Oliva Antonio Torralba and Fredo Durand. 2018. What Do Different Evaluation Metrics Tell Us About Saliency Models? IEEE Trans. Pattern Anal. Mach. Intell. Vol. PP (March 2018) 1--1. Zoya Bylinskii Tilke Judd Aude Oliva Antonio Torralba and Fredo Durand. 2018. What Do Different Evaluation Metrics Tell Us About Saliency Models? IEEE Trans. Pattern Anal. Mach. Intell. Vol. PP (March 2018) 1--1.

3. Viewport-adaptive navigable 360-degree video delivery

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1. Deep Variational Learning for 360° Adaptive Streaming;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-08-16

2. tSPM-Net: A probabilistic spatio-temporal approach for scanpath prediction;Computers & Graphics;2024-08

3. MADRL-Based Rate Adaptation for 360° Video Streaming With Multiviewpoint Prediction;IEEE Internet of Things Journal;2024-08-01

4. Adaptive 360-Degree Video Streaming with Multi-window and Stochastic Viewport Prediction;ICC 2024 - IEEE International Conference on Communications;2024-06-09

5. Understanding and Modeling the Effects of Task and Context on Drivers’ Gaze Allocation;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02

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