Technical Papers
Video Applications
Tuesday, 12 August 2:00 PM - 3:30 PM | Vancouver Convention Centre, East Building, Exhibit Hall A Session Chair: Floraine Berthouzoz, Adobe Systems, Inc.
VideoSnapping: Interactive Synchronization of Multiple Videos
This method enables video clips in a timeline to snap to one another in a content-aware manner when dragged by a user. It computes optimal nonlinear synchronizations for arbitrary numbers of videos, enabling new applications and interfaces.
Oliver Wang
Disney Research Zürich
Christopher Schroers
Disney Research Zürich
Henning Zimmer
Disney Research Zürich
Markus Gross
Disney Research Zürich, ETH Zürich
Alexander Sorkine-Hornung
Disney Research Zürich
First-Person Hyper-Lapse Videos
A method for converting first-person videos (for example, captured with a helmet camera during activities such as rock climbing or bicycling) into hyper-lapse videos (time-lapse videos with a smoothly moving camera).
Johannes Kopf
Microsoft Research
Michael Cohen
Microsoft Research
Richard Szeliski
Microsoft Research
The Visual Microphone: Passive Recovery of Sound from Video
When sound causes an object to vibrate, the movement of that object creates a visual signal. This paper shows that by recovering the small motions of an object vibrating with sound, audio signals can be recovered from high-speed video - turning visible surfaces into visual microphones.
Abe Davis
MIT CSAIL
Michael Rubinstein
Microsoft Research, MIT CSAIL
Neal Wadhwa
MIT CSAIL
Gautham J. Mysore
Adobe Research
Frédo Durand
MIT CSAIL
William T. Freeman
MIT CSAIL
Intrinsic Video and Applications
A method to decompose a video into its intrinsic components of reflectance and shading, plus a number of example applications in video editing such as segmentation, material editing, recolorization, and color transfer.
Genzhi Ye
Tsinghua University
Elena Garces
Universidad de Zaragoza
Yebin Liu
Tsinghua University
Qionghai Dai
Tsinghua University
Diego Gutierrez
Universidad de Zaragoza
Automatic Editing of Footage from Multiple Social Cameras
This paper presents an approach that takes multiple videos captured by social cameras (cameras that are carried or worn by members of the group involved in an activity) and produces a coherent
"cut" video of the activity using the focus of attention of the people and applying cinematographic rules.
Ido Arev
The Interdisciplinary Center Herzliya, Disney Research Pittsburgh
Hyun Soo Park
Carnegie Mellon University
Yaser Sheikh
Carnegie Mellon University, Disney Research Pittsburgh
Jessica Hodgins
Carnegie Mellon University, Disney Research Pittsburgh
Ariel Shamir
The Interdisciplinary Center Herzliya, Disney Research Pittsburgh