Learning to recognise visual content from textual annotation

This thesis explores how machine learning can be applied to the task of learning to recognise visual content from different forms of textual annotation, bringing together computer vision and natural language processing. The data used in the thesis is taken from real world sources including broadcast...

Full description

Bibliographic Details
Main Author: Marter, Matthew John
Other Authors: Bowden, Richard ; Hadfield, Simon
Published: University of Surrey 2019
Subjects:
Online Access:https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.767000

Similar Items