Deep 360 pilot: Learning a deep agent for piloting through 360 sports videos

HN Hu, YC Lin, MY Liu, HT Cheng… - … IEEE Conference on …, 2017 - ieeexplore.ieee.org
Watching a 360° sports video requires a viewer to continuously select a viewing angle,
either through a sequence of mouse clicks or head movements. To relieve the viewer from …

Sports camera calibration via synthetic data

J Chen, JJ Little - Proceedings of the IEEE/CVF conference …, 2019 - openaccess.thecvf.com
Calibrating sports cameras is important for autonomous broadcasting and sports analysis.
Here we propose a highly automatic method for calibrating sports cameras from a single …

Backtracking regression forests for accurate camera relocalization

L Meng, J Chen, F Tung, JJ Little… - 2017 IEEE/RSJ …, 2017 - ieeexplore.ieee.org
Camera relocalization plays a vital role in many robotics and computer vision tasks, such as
global localization, recovery from tracking failure, and loop closure detection. Recent …

A decision tree framework for spatiotemporal sequence prediction

T Kim, Y Yue, S Taylor, I Matthews - Proceedings of the 21th ACM …, 2015 - dl.acm.org
We study the problem of learning to predict a spatiotemporal output sequence given an input
sequence. In contrast to conventional sequence prediction problems such as part-of-speech …

Learning to capture a film-look video with a camera drone

C Huang, Z Yang, Y Kong, P Chen… - … on robotics and …, 2019 - ieeexplore.ieee.org
The development of intelligent drones has simplified aerial filming and provided smarter
assistant tools for users to capture a film-look footage. Existing methods of autonomous …

Learning online smooth predictors for realtime camera planning using recurrent decision trees

J Chen, HM Le, P Carr, Y Yue… - Proceedings of the IEEE …, 2016 - openaccess.thecvf.com
We study the problem of online prediction for realtime camera planning, where the goal is to
predict smooth trajectories that correctly track and frame objects of interest (eg, players in a …

Chalkboarding: A new spatiotemporal query paradigm for sports play retrieval

L Sha, P Lucey, Y Yue, P Carr, C Rohlf… - Proceedings of the 21st …, 2016 - dl.acm.org
The recent explosion of sports tracking data has dramatically increased the interest in
effective data processing and access of sports plays (ie, short trajectory sequences of …

Interactive sports analytics: An intelligent interface for utilizing trajectories for interactive sports play retrieval and analytics

L Sha, P Lucey, Y Yue, X Wei, J Hobbs… - ACM Transactions on …, 2018 - dl.acm.org
Analytics in professional sports has experienced a dramatic growth in the last decade due to
the wide deployment of player and ball tracking systems in team sports, such as basketball …

Learning to film from professional human motion videos

C Huang, CE Lin, Z Yang, Y Kong… - Proceedings of the …, 2019 - openaccess.thecvf.com
We investigate the problem of 6 degrees of freedom (DOF) camera planning for filming
professional human motion videos using a camera drone. Existing methods either plan …

Batteries, camera, action! learning a semantic control space for expressive robot cinematography

R Bonatti, A Bucker, S Scherer… - … on Robotics and …, 2021 - ieeexplore.ieee.org
Aerial vehicles are revolutionizing the way filmmakers can capture shots of actors by
composing novel aerial and dynamic viewpoints. However, despite great advancements in …