Advanced Visualization of Video Sequence Data
The data for this visualization is a 96 frame video sequence of a sunrise timelapse. Each frame is 160 x 120 pixels in resolution. The entire dataset contains ~1.8 million objects.
Basic Version
This version uses color, scale, and transparency to represent the RGB values of each pixel in the video sequence.
Download a ZIP containing all necessary files (64 Mb, Windows executable only)
The four images below show variation based on the world transparency settning (Additive, Subractive, Dark, and Off, i.e. using the 8 key)
Using Geometry and Topology
In addition to using color, scale, and transparency to represent the RGB values of each pixel in the video sequence, this version also uses geometry and topology.
Download a ZIP containing all necessary files (64 Mb, Windows executable only)
Download a ZIP containing frames 1-24, all necessary files (15 Mb, Windows executable only)
The four images below show variation based on the world transparency settning (Additive, Subractive, Dark, and Off, i.e. using the 8 key)
Using Color Gradient Values
In addition to using color, scale, transparency, geometry, and topology to represent the RGB values of each pixel in the video sequence, this version also calculates the color gradient between pixels in adjacent frames.
Download a ZIP containing all necessary files (64 Mb, Windows executable only)
The four images below show variation based on the world transparency settning (Additive, Subractive, Dark, and Off, i.e. using the 8 key)
