Computer Vision Software “Show and Tell”

The Department of Engineering Science’s Seebibyte Project is holding a "Show and Tell" to introduce and demonstrate advanced machine learning methods that enable automated analysis of image and video data across research disciplines. This session will focus on work developed by Andrew Zisserman, Alison Noble, and Andrea Vedaldi.
When Jun 14, 2016
from 11:00 AM to 04:00 PM
Where Department of Engineering Science
Contact Name
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The event will take place at the Information Engineering Building, Department of Engineering Science, and will run from 11am to 4pm. The event is limited to University of Oxford participants only.

  • Morning Session (11.00 to 13.00) We will demonstrate software developed by the Visual Geometry Group, and advise how it can immediately be applied to your own projects. The presentations will cover the following topics: Counting, Landmark Detection, Segmentation and Text Spotting.
  • Lunch (provided 13.00-14.00)
  • Afternoon Session (14.00 to 16.00) This session is aimed at short (30 min) one-to-one meetings to discuss in detail how the software might be developed for particular projects. Meetings will be scheduled over lunch for the afternoon sessions.


Prior registration is required to attend this event.Email Penny Farrar, Seebibyte Project Manager, for any questions:

To register and for further details, please visit our event webpage:


The EPSRC-funded Seebibyte Project mission statement is to make anything visual describable and searchable. The project will develop the next generation of computer vision methods able to analyse, describe and search image and video content with human-like capabilities. The project builds on work already done in this area by five PIs in the Department of Engineering Science: Andrew Zisserman, Alison Noble, Andrea Vedaldi, Philip Torr and Jens Rittscher. One of its principal aims is to make software developed within the project available to other groups.

More information about this event…