About Seebibyte

Our vision is that everything Visual should be Describable and Searchable

Seebibyte: Visual Search for the Era of Big Data is a large research project based in the Department of Engineering Science, University of Oxford. It is funded by the EPSRC (Engineering and Physical Sciences Research Council), and will run from 2015 - 2020.

There are two main objectives:

1. To carry out fundamental research to develop next generation computer vision methods that are able to analyse, describe and search image and video content with human-like capabilities; and

2. To transfer these methods to industry and to other academic disciplines (such as Archaeology, Art, Geology, Medicine, Plant sciences and Zoology).

Software Demos

As the project progresses we will add full details on this website about our new software releases. In advance, here is a taster of previous software demonstrations.

Demo 3: Smart Specs

Visual Search of Paintings
visual search of paintings

Our work allows computers to recognize objects in images, what is distinctive about our work is that we also recover the 2D outline of the object. Currently we have trained this model to recognize 20 classes. The demo below allows you to test our algorithm on your own images – have a try and see if you can fool it, if you get some good examples you can send them to us. Why are we doing this? This work is part of a project to build augmented reality glasses for the partially sighted. .

Go to demo

More on smart specs

Demo 2: Paintings

Visual Search of Paintings
visual search of paintings

The objective of this research is to find objects in paintings by learning classifiers from photographs on the internet. We provide a live demo that allows a user to search for an object of their choosing (such as "baby", "bird", or "dog, for example) in a dataset of over 200,000 paintings, in a matter of seconds.

Access Live Demo

Further Details

Demo 1: BBC

Visual Search of BBC News
BBC visual search

This is a technical demo of the large-scale on-the-fly web search technologies which are under development in the Oxford University Visual Geometry Group, using data provided by BBC R&D comprising over five years of prime-time news broadcasts from six channels. The demo consists of three different components, which can be used to query the dataset on-the-fly for three different query types: object search, image search and people search.

Access Live Demo

Further Details