arXiv · 2306.08089
360TripleView: 360-Degree Video View Management System Driven by Convergence Value of Viewing Preferences
Abstract
360-degree video has become increasingly popular in content consumption. However, finding the viewing direction for important content within each frame poses a significant challenge. Existing approaches rely on either viewer input or algorithmic determination to select the viewing direction, but neither mode consistently outperforms the other in terms of content-importance. In this paper, we propose 360TripleView, the first view management system for 360-degree video that automatically infers and utilizes the better view mode for each frame, ultimately providing viewers with higher content-importance views. Through extensive experiments and a user study, we demonstrate that 360TripleView achieves over 90\% accuracy in inferring the better mode and significantly enhances content-importance compared to existing methods.
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Qian Zhou, Michael Zink, Ramesh Sitaraman, Klara Nahrstedt. 2023-06-13. 360TripleView: 360-Degree Video View Management System Driven by Convergence Value of Viewing Preferences. https://arxiv.org/abs/2306.08089
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