The framework of the thesis Indexing using Text
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454 b.
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30.10.2017
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454 b.
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Bu səhifədəki naviqasiya:
Videos vs. scanned documents
A text detection system for videos
Properties of the local contrast method
Estimation of the text rectangle height
Tracking: content verification
Character segmentation: examples
Evaluation measures Detection in still images
The influence of falling generality
Conclusion Outlook
The framework of the thesis
Indexing using Text
Plan
Videos vs. scanned documents
What is text? - character segmentation
What is text? - texture
What is text? - contrast & geometry
A text detection system for videos
Plan
2 Algorithms for still images
The local contrast method
Properties of the local contrast method
Method 2: why learning?
Geometrical features
Geometrical features: baseline
Estimation of the text rectangle height
Features
Learning with Support Vector Machines
Plan
Tracking the text appearances
Tracking: content verification
Enhancement
Plan
Adaptive binarization
Our solution: contrast maximization
Character segmentation: examples
Modeling text with a Markov random field
The prior knowledge
Plan
Evaluation measures
Detection in still images
The influence of falling generality
Detection in video sequences
OCR results
TREC 2002
Conclusion
Outlook
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454 b.
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