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Related papers: Automatic cinematography for 360 video

200 papers

In this paper, we present MovieFactory, a powerful framework to generate cinematic-picture (3072$\times$1280), film-style (multi-scene), and multi-modality (sounding) movies on the demand of natural languages. As the first fully automated…

Computer Vision and Pattern Recognition · Computer Science 2023-06-13 Junchen Zhu , Huan Yang , Huiguo He , Wenjing Wang , Zixi Tuo , Wen-Huang Cheng , Lianli Gao , Jingkuan Song , Jianlong Fu

We present a method for learning to generate unbounded flythrough videos of natural scenes starting from a single view, where this capability is learned from a collection of single photographs, without requiring camera poses or even…

Computer Vision and Pattern Recognition · Computer Science 2022-07-25 Zhengqi Li , Qianqian Wang , Noah Snavely , Angjoo Kanazawa

This letter describes a method for autonomous aerial cinematography with distributed lighting by a team of unmanned aerial vehicles (UAVs). Although camera-carrying multi-rotor helicopters have become commonplace in cinematography, their…

Creating engaging narratives from visual data is crucial for automated digital media consumption, assistive technologies, and interactive entertainment. This survey covers methodologies used in the generation of these narratives, focusing…

Computer Vision and Pattern Recognition · Computer Science 2025-09-03 Daniel A. P. Oliveira , Eugénio Ribeiro , David Martins de Matos

We propose a method for generating fly-through videos of a scene, from a single image and a given camera trajectory. We build upon an image-to-video latent diffusion model. We condition its UNet denoiser on the camera trajectory, using four…

Computer Vision and Pattern Recognition · Computer Science 2025-02-03 Stefan Popov , Amit Raj , Michael Krainin , Yuanzhen Li , William T. Freeman , Michael Rubinstein

By analyzing the motion of people and other objects in a scene, we demonstrate how to infer depth, occlusion, lighting, and shadow information from video taken from a single camera viewpoint. This information is then used to composite new…

Computer Vision and Pattern Recognition · Computer Science 2020-07-21 Yifan Wang , Brian Curless , Steve Seitz

The movie industry has been using Unmanned Aerial Vehicles as a new tool to produce more and more complex and aesthetic camera shots. However, the shooting process currently rely on manual control of the drones which makes it difficult and…

Robotics · Computer Science 2017-12-13 Julien Fleureau , Quentin Galvane , François-Louis Tariolle , Philippe Guillotel

Cinematic storytelling is profoundly shaped by the artful manipulation of photographic elements such as depth of field and exposure. These effects are crucial in conveying mood and creating aesthetic appeal. However, controlling these…

Computer Vision and Pattern Recognition · Computer Science 2025-11-18 Huiqiang Sun , Liao Shen , Zhan Peng , Kun Wang , Size Wu , Yuhang Zang , Tianqi Liu , Zihao Huang , Xingyu Zeng , Zhiguo Cao , Wei Li , Chen Change Loy

Advances in generative artificial intelligence have altered multimedia creation, allowing for automatic cinematic video synthesis from text inputs. This work describes a method for creating 60-second cinematic movies incorporating Stable…

Computer Vision and Pattern Recognition · Computer Science 2025-06-13 Sridhar S , Nithin A , Shakeel Rifath , Vasantha Raj

The advent of text-driven 360-degree panorama generation, enabling the synthesis of 360-degree panoramic images directly from textual descriptions, marks a transformative advancement in immersive visual content creation. This innovation…

Computer Vision and Pattern Recognition · Computer Science 2025-11-06 Hai Wang , Xiaoyu Xiang , Weihao Xia , Jing-Hao Xue

Panoramic image stitching provides a unified, wide-angle view of a scene that extends beyond the camera's field of view. Stitching frames of a panning video into a panoramic photograph is a well-understood problem for stationary scenes, but…

Computer Vision and Pattern Recognition · Computer Science 2024-10-29 Jingwei Ma , Erika Lu , Roni Paiss , Shiran Zada , Aleksander Holynski , Tali Dekel , Brian Curless , Michael Rubinstein , Forrester Cole

Humans excel at constructing panoramic mental models of their surroundings, maintaining object permanence and inferring scene structure beyond visible regions. In contrast, current artificial vision systems struggle with persistent,…

Computer Vision and Pattern Recognition · Computer Science 2025-12-16 Finlay G. C. Hudson , James A. D. Gardner , William A. P. Smith

Video surveillance cameras generate most of recorded video, and there is far more recorded video than operators can watch. Much progress has recently been made using summarization of recorded video, but such techniques do not have much…

Computer Vision and Pattern Recognition · Computer Science 2017-01-05 Yedid Hoshen , Shmuel Peleg

A concept of defining images based on its own approximate ones is proposed here, which is called 'Self-ception'. In this regard, an algorithm is proposed to implement the self-ception for images, which we call it 'Image Self-ception' since…

Computer Vision and Pattern Recognition · Computer Science 2018-06-15 Hamed Shah-Hosseini

Automatic movie narration aims to generate video-aligned plot descriptions to assist visually impaired audiences. Unlike standard video captioning, it involves not only describing key visual details but also inferring plots that unfold…

Computer Vision and Pattern Recognition · Computer Science 2024-10-21 Zihao Yue , Yepeng Zhang , Ziheng Wang , Qin Jin

We introduce a method to generate videos of dynamic virtual objects plausibly interacting via collisions with a still image's environment. Given a starting trajectory, physically simulated with the estimated geometry of a single, static…

Computer Vision and Pattern Recognition · Computer Science 2019-08-27 Carlo Innamorati , Bryan Russell , Danny M. Kaufman , and Niloy J. Mitra

In this paper, we present a system for modelling vehicle motion in an urban scene from low frame-rate aerial video. In particular, the scene is modelled as a probability distribution over velocities at every pixel in the image. We describe…

Computer Vision and Pattern Recognition · Computer Science 2009-12-08 Edward Rosten , Rohan Loveland , Mark Hickman

In this work, we present an integrated system for spatiotemporal summarization of 360-degrees videos. The video summary production mainly involves the detection of salient events and their synopsis into a concise summary. The analysis…

Computer Vision and Pattern Recognition · Computer Science 2023-12-06 Ioannis Kontostathis , Evlampios Apostolidis , Vasileios Mezaris

We present a system to capture video footage of human subjects in the real world. Our system leverages a quadrotor camera to automatically capture well-composed video of two subjects. Subjects are tracked in a large-scale outdoor…

This paper offers the first comprehensive review of artificial intelligence (AI) research in the context of real camera content acquisition for entertainment purposes and is aimed at both researchers and cinematographers. Addressing the…

Computer Vision and Pattern Recognition · Computer Science 2025-06-10 Adrian Azzarelli , Nantheera Anantrasirichai , David R Bull