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Label Embedding for Text Recognition
Published on 2014-04-032537 Views
The standard approach to recognizing text in images consists in first classifying local image regions into candidate characters and then combining them with high-level word models such as conditional
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Presentation
Label embedding for text recognition00:00
Table of Contents - 100:11
Table of Contents - 200:17
Problem: Text recognition in natural images - 100:19
Problem: Text recognition in natural images - 200:56
Problem: Text recognition in natural images - 301:15
Related work - 101:30
Desired framework03:14
Table of Contents - 303:34
Model formulation - 103:38
Model formulation - 204:50
Model formulation - 305:26
Q1. Image embedding05:51
Q2. Label embedding 06:15
Q3. Learning the W in the compatibility function - 107:38
Q3. Learning the W in the compatibility function - 208:20
Table of Contents - 409:22
Experiments on License Plate Recognition - 109:29
Experiments on License Plate Recognition - 210:28
Experiments on Scene Text Recognition12:13
Correctly recognized words13:01
Failure cases - 113:13
Failure cases - 213:18
Failure cases - 313:42
Conclusions14:12
Thanks15:11
Q3. Learning the W in the compatibility function - 315:35
Related work - 217:14