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Thesis

Deep learning for text spotting

Abstract:

This thesis addresses the problem of text spotting - being able to automatically detect and recognise text in natural images. Developing text spotting systems, systems capable of reading and therefore better interpreting the visual world, is a challenging but wildly useful task to solve. We approach this problem by drawing on the successful developments in machine learning, in particular deep learning and neural networks, to present advancements using these data-driven methods.

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Research group:
Visual Geometry Group
Oxford college:
Worcester College
Role:
Author
More by this author
Division:
MPLS
Department:
Engineering Science
Role:
Author

Contributors

Role:
Supervisor
Role:
Supervisor
Publication date:
2015
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford
Language:
English
Keywords:
Subjects:
UUID:
uuid:e893c11e-6b6b-4d11-bb25-846bcef9b13e
Local pid:
ora:12286
Deposit date:
2015-09-30

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