Be the first to like this
Interactive Latency in Big Data Visualization
Zhicheng "Leo" Liu, Research Scientist at the Creative Technologies Lab at Adobe Research
January 22nd, 2014
Reducing interactive latency is a central problem in visualizing large datasets. I discuss two inter-related projects in this problem space. First, I present the imMens system and show how we can achieve real-time interaction at 50 frames per second for billions of data points by combining techniques such as data tiling and parallel processing. Second, I discuss an ongoing user study that aims to understand the effect of interactive latency on human cognitive behavior in exploratory visual analysis.
Big Data Visualization Meetup - South Bay