DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/TVCG.2013.265
Brian Duffy , University of Oxford, Oxford
Jeyarajan Thiyagalingam , MathWorks, UK
Simon Walton , University of Oxford, Oxford
David J. Smith , University of Birmingham, Birmingham
Anne Trefethen , University of Oxford, Oxford
Jackson C. Kirkman-Brown , University of Birmingham, Birmingham
Eamonn A. Gaffney , University of Oxford, Oxford
Min Chen , University of Oxford, Oxford
Existing efforts in computer assisted semen analysis have been focused on high speed imaging and automated image analysis of sperm motility. This results in a large amount of data, and is extremely challenging for clinical scientists and researchers to interpret, compare and correlate the multidimensional and time-varying measurements captured from video data. We use glyphs to encode a collection of numerical measurements taken at regular intervals and summarize spatio-temporal motion characteristics using static visual representations. The design of the glyphs addresses the needs for (a) encoding 20 variables using separable visual channels, (b) supporting scientific observation of interrelationships between different measurements and comparison between different sperm cells and their flagella, and (c) facilitating learning of encoding scheme by making use of appropriate visual abstractions and metaphors. We focus this work on video visualization for computer-aided semen analysis, which has a broad impact on both biological sciences and medical healthcare. We demonstrate glyph-based visualization can serve as a means of external memorization of video data as well as an overview of a large set of spatiotemporal measurements. It enables domain scientists to make observations in a cost-effective manner by reducing the burden of viewing videos repeatedly, while providing a new visual representation for conveying semen statistics.
video visualization, glyph-based visualization
E. A. Gaffney et al., "Glyph-Based Video Visualization for Semen Analysis," in IEEE Transactions on Visualization & Computer Graphics.