2023/06/13 by Zhou, Qian, Zink, Michael, Sitaraman, Ramesh +1
#FOS: Computer and information sciences #Multimedia (cs.MM)
paper · doi:10.48550/arxiv.2306.08089
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.