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Issue No.08 - Aug. (2015 vol.21)
pp: 980-993
Brian Duffy , Oxford eResearch Center (OeRC) , University of Oxford, 7 Keble Road, Oxford OX1 3QG, Oxfordshire, United Kingdom
Jeyarajan Thiyagalingam , Oxford eResearch Center (OeRC) , University of Oxford, 7 Keble Road, Oxford OX1 3QG, Oxfordshire, United Kingdom
Simon Walton , Oxford eResearch Center (OeRC) , University of Oxford, 7 Keble Road, Oxford OX1 3QG, Oxfordshire, United Kingdom
David J. Smith , School of Mathematics, Watson Building, University of Birmingham, Edgbaston, United Kingdom
Anne Trefethen , Oxford eResearch Center (OeRC) , University of Oxford, 7 Keble Road, Oxford OX1 3QG, Oxfordshire, United Kingdom
Jackson C. Kirkman-Brown , School of Mathematics, Watson Building, University of Birmingham, Edgbaston, United Kingdom
Eamonn A. Gaffney , Oxford eResearch Center (OeRC) , University of Oxford, 7 Keble Road, Oxford OX1 3QG, Oxfordshire, United Kingdom
Min Chen , Oxford eResearch Center (OeRC) , University of Oxford, 7 Keble Road, Oxford OX1 3QG, Oxfordshire, United Kingdom
ABSTRACT
The 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 it is extremely challenging for both clinical scientists and researchers to interpret, compare and correlate the multidimensional and time-varying measurements captured from video data. In this work, we use glyphs to encode a collection of numerical measurements taken at a regular interval and to summarize spatio-temporal motion characteristics using static visual representations. The design of the glyphs addresses the needs for (a) encoding some 20 variables using separable visual channels, (b) supporting scientific observation of the interrelationships between different measurements and comparison between different sperm cells and their flagella, and (c) facilitating the learning of the encoding scheme by making use of appropriate visual abstractions and metaphors. As a case study, 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 that 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 scientific observation in a cost-effective manner by reducing the burden of viewing videos repeatedly, while providing them with a new visual representation for conveying semen statistics.
INDEX TERMS
Data visualization, Visualization, Context, Head, Educational institutions, Electronic mail,flagellum locomotion, Video visualization, glyph visualization, multivariate data, semen analysis
CITATION
Brian Duffy, Jeyarajan Thiyagalingam, Simon Walton, David J. Smith, Anne Trefethen, Jackson C. Kirkman-Brown, Eamonn A. Gaffney, Min Chen, "Glyph-Based Video Visualization for Semen Analysis", IEEE Transactions on Visualization & Computer Graphics, vol.21, no. 8, pp. 980-993, Aug. 2015, doi:10.1109/TVCG.2013.265
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