Publication
Video Browsing by Direct Manipulation
AbstractWe present a method for browsing videos by directly dragging their content. This method brings the benefits of direct manipulation to an activity typically mediated by widgets. We support this new type of interactivity by: 1) automatically extracting motion data from videos; and 2) a new technique called relative flow dragging that lets users control video playback by moving objects of interest along their visual trajectory. We show that this method can out-perform the traditional seeker bar in video browsing tasks that focus on visual content rather than time.
Download publicationAssociated Researchers
Pierre Dragicevic
University of Toronto
Gonzalo Ramos
University of Toronto
Derek Nowrouzezahrai
University of Toronto
Ravin Balakrishnan
University of Toronto
Karan Singh
University of Toronto
Related Resources
See what’s new.
2024
Connect with our Research Connections Series: CuebricLearn how Cuebric transforms concept art into film-ready backgrounds…
2024
Autonomous Robotic Assembly of a Skateboard TruckThe Autodesk Research robotics team set out to solve a complex…
2023
Leveraging Graph Neural Networks for Graph Regression and Effective Enumeration ReductionGraph-based framework represents aspects of optimal thermal management…
2016
Embedded sensors and feedback loops for iterative improvement in design synthesis for additive manufacturingDesign problems are complex and not well-defined in the early stages…
Get in touch
Something pique your interest? Get in touch if you’d like to learn more about Autodesk Research, our projects, people, and potential collaboration opportunities.
Contact us