Automatic cinematography for 360 video
We describe our method for automatic generation of a visually interesting camera path (automatic cinematography)from a 360 video. Based on the information from the scene objects, multiple shot hypotheses for different shot types are constructed and the best one is rendered.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Pano2Vid: Automatic Cinematography for Watching 360$^{\circ}$ Videos
We introduce the novel task of Pano2Vid $-$ automatic cinematography in panoramic 360$^{\circ}$ videos. Given a 360$^{\circ}$ video, the goal is to direct an imaginary camera to virtually capture natural-looking normal f…
Making 360deg Video Watchable in 2D: Learning Videography for Click Free Viewing
360deg video requires human viewers to actively control "where" to look while watching the video. Although it provides a more immersive experience of the visual content, it also introduces additional burden for viewers; …
NavigateMaking 360$^{\circ}$ Video Watchable in 2D: Learning Videography for Click Free Viewing
360$^{\circ}$ video requires human viewers to actively control "where" to look while watching the video. Although it provides a more immersive experience of the visual content, it also introduces additional burden for vi…
NavigateCineTechBench: A Benchmark for Cinematographic Technique Understanding and Generation
Cinematography is a cornerstone of film production and appreciation, shaping mood, emotion, and narrative through visual elements such as camera movement, shot composition, and lighting. Despite recent progress in multim…
Video GenerationMultimodal active speaker detection and virtual cinematography for video conferencing
Active speaker detection (ASD) and virtual cinematography (VC) can significantly improve the remote user experience of a video conference by automatically panning, tilting and zooming of a video conferencing camera: user…
4kActive Speaker DetectionBIG-bench Machine Learning