  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.
