Major funding will help our ability to search and analyse large volumes of images and videos

Seebibyte: Visual Search for the Era of Big Data is a large multi-faceted research effort that has been awarded £4.5 million by the Engineering and Physical Sciences Research Council (EPSRC) Programme Grant. This research aims to enhance quality of life by improving healthcare capabilities, surveillance, the environmental monitoring of roads, as well as new means of enjoying digital media in the home. Led by Professor Andrew Zisserman, the project will be based at the Department of Engineering Science, University of Oxford and will be supported by four Co-Investigators; Professor Alison Noble, Professor Andrea Vedaldi, Professor Jens Rittscher and Professor Philip Torr.

Seebibyte: Counting penguins
Detecting and counting penguinsOur ability to generate and store large volumes of visual data (images and videos) is now very good. However, our ability to efficiently search and analyse this data is at a relatively early stage of development. The objectives of the Seebibyte project are first, to carry out fundamental research in order to develop the next generation computer vision methods that are able to analyse, describe and search image and video content with human-like capabilities. The second objective is to transfer these methods to academic disciplines (e.g. Archaeology, Art, Geology, Medicine, Plant sciences, Zoology) and to industry.

To find out more about research undertaken by the Department’s Visual Geometry Group please visit:

www.robots.ox.ac.uk/~vgg/research/