CollaVR: Collaborative In-Headset Review for VR Video |
Cuong Nguyen1, Stephen DiVerdi2, Aaron Hertzmann2, and Feng Liu1 |
1Computer Science
Department, Portland State University 2Adobe Research |
Abstract |
Collaborative review and feedback is an important part of
conventional filmmaking and now Virtual Reality (VR) video
production as well. However, conventional collaborative review
practices do not easily translate to VR video because
VR video is normally viewed in a headset, which makes it
difficult to align gaze, share context, and take notes. This
paper presents CollaVR, an application that enables multiple
users to review a VR video together while wearing headsets.
We interviewed VR video professionals to distill key considerations
in reviewing VR video. Based on these insights, we
developed a set of networked tools that enable filmmakers to
collaborate and review video in real-time. We conducted a
preliminary expert study to solicit feedback from VR video
professionals about our system and assess their usage of the
system with and without collaboration features. |
Paper |
Cuong Nguyen,
Stephen DiVerdi, Aaron Hertzmann, and Feng Liu. CollaVR: Collaborative In-Headset Review for VR Video. ACM UIST 2017. PDF |
Demo Video |
Acknowledgment We thank the professionals who participated in our interviews and evaluation for their time and feedback. This video uses images from YouTube users EU2016NL under a Creative Commons license. This work was supported in part by NSF IIS-1321119. |
Related projects |
Cuong Nguyen, Stephen DiVerdi, Aaron Hertzmann,
and Feng
Liu.
Depth Conflict Reduction for Stereo VR Video Interfaces. ACM CHI 2018. PDF |
Cuong Nguyen,
Stephen DiVerdi, Aaron Hertzmann, and Feng Liu.
Vremiere: In-headset Virtual Reality Video Editing. ACM CHI 2017. PDF (best paper honorable mention award) Project CloverVR is based on this work. Watch live demo at Adobe Max 2016. |
Cuong Nguyen and Feng Liu. Gaze-based Notetaking for Learning from Lecture Videos. ACM CHI 2016. PDF Cuong Nguyen, Wu-chi Feng, and Feng Liu. Hotspot: Making Computer Vision More Effective for Human Video Surveillance. Information Visualization, 2016. PDF Cuong Nguyen and Feng Liu. Making Software Tutorial Video Responsive. ACM CHI 2015. PDF (Best Paper Honorable Mention Award) Cuong Nguyen, Yuzhen Niu, and Feng Liu. Direct Manipulation Video Navigation on Touch Screens. ACM MobileHCI 2014. PDF Cuong Nguyen, Yuzhen Niu, and Feng Liu. Direct Manipulation Video Navigation in 3D. ACM CHI 2013. PDF (Best Paper Honorable Mention Award) Cuong Nguyen, Yuzhen Niu, and Feng Liu. Video Summagator: An Interface for Video Summarization and Navigation. ACM CHI 2012. PDF |