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Thesis

On-the-fly visual category search in web-scale image collections

Abstract:

This thesis tackles the problem of large-scale visual search for categories within large collections of images. Given a textual description of a visual category, such as 'car' or 'person', the objective is to retrieve images containing that category from the corpus quickly and accurately, and without the need for auxiliary meta-data or, crucially and in contrast to previous approaches, expensive pre-training.

The general approach to identifying different visual categories within a d...

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Institution:
University of Oxford
Research group:
Visual Geometry Group
Oxford college:
University College
Department:
Mathematical,Physical & Life Sciences Division - Engineering Science
Role:
Author

Contributors

Role:
Supervisor
Publication date:
2014
Type of award:
DPhil
Level of award:
Doctoral
URN:
uuid:cb26c472-b253-4fec-a88e-0c57fc9d70e7
Local pid:
ora:12458

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