Multimedia Communications: The Visual User Interface

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Multimedia CommunicationsThe Visual User
Interface
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The Visual User Interface
Image Recognition Image Synthesis Special
Images Face, Characters, Documents, Handwriting,
Gestures Applications Document Understanding,
Human-Machine Dialogue
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Image Recognition Principles
Image Enhancement Feature Analysis Use of
Correlations and Context
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Problems in Document Recognition
Recognition of fields- titles, figures,
equations Recognition of words- keyword
spotting Recognition of characters and
digits Recognition of printed and handwritten
characters Signature verification
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Capabilities in Printed Character Recognition
Font - independence (39 font styles of printable
ASCII set) Size - independence (8 to 14
point) 300 pixels per inch inputs Error rate less
than 1 Features Geometrical and Topological
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ATT Machine-Printed Character Recognition
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Neural Network For Character Recognition
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Bayesian Image Recognition
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Recognition of Degraded Characters
Obtain binary segment vectors for the word
segments. Determine Bayesian distortion measure
of observed segment with respect to the HMM
states. Use Viterbi Algorithm (with
modifications) and level building to obtain
cumulative score. Find string corresponding to
the best score.
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Characters Degraded by Noise and Blur
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Correctly Recognized Document Samples
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Equation Recognition
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Signature Verification
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Face Recognition
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Recognition of Hand Gestures
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Text-to-Face Synthesis
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Applications of Virtual Reality
Non-Interactive Entertainment Interactive
Games Training and Education Design and
Manufacturing Surgical Procedures
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