Text Spotting in Images Using Convolutional Neural Networks

Overview

Text detection and recognition in natural scene images is a challenging computer vision task. It may occur in a background cluttered with diverse image tokens, texts of various font types and sizes as well as character-like images. It is an essential component in numerous AI and computer vision systems, such as autonomous robots, multilanguage machine translation based on image inputs and assistive technology generally.

In this case study, we leverage convolutional neural networks (CNN) for robust text spotting. In particular, we use CNNs to recognise the words, and RNNs to decode the CNN output sequence into a word string.

Fees

Description Costs
Tuition Fee (includes Tea/Coffee) £100.00
Baguette lunch £5.50

Funding

If you are in receipt of a UK state benefit you may be eligible for a reduction of 50% of tuition fees.

If you do not qualify for the concessionary fee but are experiencing financial hardship, you may still be eligible for financial assistance.

Concessionary fees for short courses

Tutor

Dr Mcebisi Ntleki

Tutor

Dr Ntleki obtained his DPhil in Oxford on a topic in computational biolinguistics. He has taught courses in mathematics, statistics and statistical programming using medium size and large data sets arising in medical research.

Application

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Accommodation

Accommodation is not included in the price, but if you wish to stay with us the night before the course, then plesae contact our Residential Centre.

Accommodation in Rewley House - all bedrooms are modern, comfortably furnished and each room has tea and coffee making facilities, Freeview television, and Free WiFi and private bath or shower rooms.  Please contact our Residential Centre on +44 (0) 1865 270362 or email res-ctr@conted.ox.ac.uk for details of availability and discounted prices.