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360$^{\circ}$ video requires human viewers to actively control "where" tolook while watching the video. Although it provides a more immersive experienceof the visual content, it also introduces additional burden for viewers;awkward interfaces to navigate the video lead to suboptimal viewingexperiences. Virtual cinematography is an appealing direction to remedy theseproblems, but conventional methods are limited to virtual environments or relyon hand-crafted heuristics. We propose a new algorithm for virtualcinematography that automatically controls a virtual camera within a360$^{\circ}$ video. Compared to the state of the art, our algorithm allowsmore general camera control, avoids redundant outputs, and extracts its outputvideos substantially more efficiently. Experimental results on over 7 hours ofreal "in the wild" video show that our generalized camera control is crucialfor viewing 360$^{\circ}$ video, while the proposed efficient algorithm isessential for making the generalized control computationally tractable.

Making 360$^{\circ}$ Video Watchable in 2D: Learning Videography for Click Free Viewing