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.
2023
Deep Learning Methods of Cross-Modal Tasks for Conceptual Design of Product Shapes: A ReviewThis research highlights current challenges and proposes future…
2024
Recently Published by Autodesk ResearchersA selection of papers published recently by Autodesk Researchers…
2022
UNIST: Unpaired Neural Implicit Shape Translation NetworkWe introduce UNIST, the first deep neural implicit modelfor…
2020
Investigation of the potential benefits of optimizing building element placement using computational fluid dynamicsBuildings are responsible for more than one-third ofglobal energy…
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