Rapid Analysis of Video Data

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Traditionally the first step in interpreting video is to code it into a form that can be analysed systematically. The coding process is currently performed manually, and it can be slow and difficult, and biased by subjectivity.  David Mawdsley (Research IT) recently presented a poster at the first “Advances in Data Science” conference explaining how we are helping Dr Caroline Jay’s group develop a way to quickly code human behaviours allowing the rapid analysis of hours of video.

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Deadline for Research Infrastructure Procurement

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The University end of financial year is rapidly approaching and, as usual, Research IT anticipates making a procurement for the Central Shared Facility (CSF) and other Research Infrastructure platforms, such as the DPSF and iCSF, at this time.  Thank you to those researchers who have already committed funds!

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Data Visualization Equipment Expertise Available

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Touchscreens are very popular for research data visualization but any system deployed must work smoothly and intuitively.  There are a wide range of systems available – from expensive purpose-built systems for exhibitions to simple tablet/phone software options available for touching and manipulating data. How do you know which one to choose?

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Help shape the future of Data Visualization at the University of Manchester

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And be in with a chance of winning £250, £150 or £100 of Amazon Vouchers!

The demand for visualization of datasets through the creation of meaningful and attractive representations of data, and to provide insight and greater understanding of data is rapidly growing. There are many existing applications, ranging from Excel to more sophisticated and complex software like Matlab, Python, R, Mathematica, and STATA.

From feedback, we have identified a need for an application that falls in between these two extremes and we would like your help in evaluating potential applications.  This evaluation will help select an application for wider adoption  across the University, along with training, support and central licensing.

We have selected Tableau, Qlik, Spotfire and IBM Watson Analytics for a more detailed evaluation by the community.

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