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Related papers: Automatic cinematography for 360 video

200 papers

Generating 3D scenes is still a challenging task due to the lack of readily available scene data. Most existing methods only produce partial scenes and provide limited navigational freedom. We introduce a practical and scalable solution…

Graphics · Computer Science 2025-09-26 Zhaoyang Zhang , Yannick Hold-Geoffroy , Miloš Hašan , Ziwen Chen , Fujun Luan , Julie Dorsey , Yiwei Hu

Drones are enabling new forms of cinematography. However, quadrotor cinematography requires accurate comprehension of the scene, technical skill of flying, artistic skill of composition and simultaneous realization of all the requirements…

Robotics · Computer Science 2020-10-22 Yuanjie Dang

Cinemagraphs are short looping videos created by adding subtle motions to a static image. This kind of media is popular and engaging. However, automatic generation of cinemagraphs is an underexplored area and current solutions require…

Computer Vision and Pattern Recognition · Computer Science 2023-03-16 Hugo Bertiche , Niloy J. Mitra , Kuldeep Kulkarni , Chun-Hao Paul Huang , Tuanfeng Y. Wang , Meysam Madadi , Sergio Escalera , Duygu Ceylan

We propose an automatic approach that extracts editing styles in a source video and applies the edits to matched footage for video creation. Our Computer Vision based techniques considers framing, content type, playback speed, and lighting…

Computer Vision and Pattern Recognition · Computer Science 2021-05-17 Nathan Frey , Peggy Chi , Weilong Yang , Irfan Essa

Movie trailers are an essential tool for promoting films and attracting audiences. However, the process of creating trailers can be time-consuming and expensive. To streamline this process, we propose an automatic trailer generation…

Computer Vision and Pattern Recognition · Computer Science 2024-04-05 Dawit Mureja Argaw , Mattia Soldan , Alejandro Pardo , Chen Zhao , Fabian Caba Heilbron , Joon Son Chung , Bernard Ghanem

In this paper, a multi-modal 360$^{\circ}$ framework for 3D object detection and tracking for autonomous vehicles is presented. The process is divided into four main stages. First, images are fed into a CNN network to obtain instance…

Computer Vision and Pattern Recognition · Computer Science 2020-08-25 Jorge Beltrán , Carlos Guindel , Irene Cortés , Alejandro Barrera , Armando Astudillo , Jesús Urdiales , Mario Álvarez , Farid Bekka , Vicente Milanés , Fernando García

Panoramic perception holds significant potential for autonomous driving, enabling vehicles to acquire a comprehensive 360{\deg} surround view in a single shot. However, autonomous driving is a data-driven task. Complete panoramic data…

Computer Vision and Pattern Recognition · Computer Science 2026-02-16 Fei Teng , Kai Luo , Sheng Wu , Siyu Li , Pujun Guo , Jiale Wei , Jiaming Zhang , Kunyu Peng , Kailun Yang

In order to operate autonomously, a robot should explore the environment and build a model of each of the surrounding objects. A common approach is to carefully scan the whole workspace. This is time-consuming. It is also often impossible…

Computer Vision and Pattern Recognition · Computer Science 2019-03-19 Karol Piaskowski , Rafal Staszak , Dominik Belter

This work is in the field of video surveillance including motion detection. The video surveillance is one of essential techniques for automatic video analysis to extract crucial information or relevant scenes in video surveillance systems.…

Computer Vision and Pattern Recognition · Computer Science 2016-08-15 Larbi Guezouli , Hanane Belhani

Time-lapse photography is employed in movies and promotional films because it can reflect the passage of time in a short time and strengthen the visual attraction. However, since it takes a long time and requires the stable shooting, it is…

Computer Vision and Pattern Recognition · Computer Science 2022-08-23 Xiaobo Gao , Qi Kuang , Xin Jin , Bin Zhou , Boyan Dong , Xunyu Wang

The proliferation of creative video content has driven demand for textual descriptions or summaries that allow users to recall key plot points or get an overview without watching. The volume of movie content and speed of turnover motivates…

Artificial Intelligence · Computer Science 2024-10-29 Louis Mahon , Mirella Lapata

Automatic description generation from natural images is a challenging problem that has recently received a large amount of interest from the computer vision and natural language processing communities. In this survey, we classify the…

Delivering immersive, 3D experiences for human communication requires a method to obtain 360 degree photo-realistic avatars of humans. To make these experiences accessible to all, only commodity hardware, like mobile phone cameras, should…

Computer Vision and Pattern Recognition · Computer Science 2022-10-24 Stanislaw Szymanowicz , Virginia Estellers , Tadas Baltrusaitis , Matthew Johnson

Scene flow describes the 3D position as well as the 3D motion of each pixel in an image. Such algorithms are the basis for many state-of-the-art autonomous or automated driving functions. For verification and training large amounts of…

Computer Vision and Pattern Recognition · Computer Science 2018-09-03 Oliver Wasenmüller , René Schuster , Didier Stricker , Karl Leiss , Jürger Pfister , Oleksandra Ganus , Julian Tatsch , Artem Savkin , Nikolas Brasch

We describe the implementation of and early results from a system that automatically composes picture-synched musical soundtracks for videos and movies. We use the phrase "picture-synched" to mean that the structure of the automatically…

Multimedia · Computer Science 2019-10-22 Vansh Dassani , Jon Bird , Dave Cliff

We introduce a simple yet effective algorithm that uses convolutional neural networks to directly estimate object poses from videos. Our approach leverages the temporal information from a video sequence, and is computationally efficient and…

Computer Vision and Pattern Recognition · Computer Science 2021-11-23 Apoorva Beedu , Zhile Ren , Varun Agrawal , Irfan Essa

User-generated cinematic creations are gaining popularity as our daily entertainment, yet it is a challenge to master cinematography for producing immersive contents. Many existing automatic methods focus on roughly controlling predefined…

Multimedia · Computer Science 2024-05-24 Xinyi Wu , Haohong Wang , Aggelos K. Katsaggelos

We present a system that automatically brings street view imagery to life by populating it with naturally behaving, animated pedestrians and vehicles. Our approach is to remove existing people and vehicles from the input image, insert…

Computer Vision and Pattern Recognition · Computer Science 2023-10-13 Mengyi Shan , Brian Curless , Ira Kemelmacher-Shlizerman , Steve Seitz

Six degrees-of-freedom (6-DoF) video provides telepresence by enabling users to move around in the captured scene with a wide field of regard. Compared to methods requiring sophisticated camera setups, the image-based rendering method based…

Computer Vision and Pattern Recognition · Computer Science 2022-04-01 Rongsen Chen , Fang-Lue Zhang , Simon Finnie , Andrew Chalmers , Teahyun Rhee

Tracking moving objects from a video sequence requires segmentation of these objects from the background image. However, getting the actual background image automatically without object detection and using only the video is difficult. In…

Computer Vision and Pattern Recognition · Computer Science 2015-10-06 Kardi Teknomo , Proceso Fernandez