Swift: Reducing the Effects of Latency in Online Video Scrubbing
We first conduct a study using abstracted video content to measure the effects of latency on video scrubbing performance and find that even very small amounts of latency can significantly degrade navigation performance. Based on these results, we present Swift, a technique that supports real-time scrubbing of online videos by overlaying a small, low resolution copy of the video during video scrubbing, and snapping back to the high resolution video when the scrubbing is completed or paused. A second study compares the Swift technique to traditional online video players on a collection of realistic live motion videos and content-specific search tasks which finds the Swift technique reducing completion times by as much as 72% even with a relatively low latency of 500ms. Lastly, we demonstrate that the Swift technique can be easily implemented using modern HTML5 web standards.Download publication
See what’s new.
DreamSketch: Early Stage 3D Design Explorations with Sketching and Generative Design
We present DreamSketch, a novel 3D design interface that combines the…
Simulating the Sensing of Building Occupancy
Accurate building occupancy information can be beneficial in…
A low order, torsion deformable spatial beam element based on the absolute nodal coordinate formulation and Bishop frame.
Heretofore, the Serret–Frenet frame has been the ubiquitous choice…
Waken: Reverse Engineering Usage Information and Interface Structure from Software Videos
We explore the possibilities and opportunities related to reverse…
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