A multiscale product approach for an automatic classification of voice disorders from endoscopic high-speed videos.
Jakob UngerMaria SchusterDietmar J. HeckerBernhard SchickJörg LohschellerPublished in: EMBC (2013)
Keyphrases
- automatic classification
- high speed
- multiscale
- endoscopic video
- automatic detection
- low power
- image processing
- coarse to fine
- real time
- image representation
- high speed networks
- image dataset
- automatically classify
- endoscopic images
- video frames
- video sequences
- scale space
- web page classification
- video database
- video surveillance
- video data
- affine invariant
- wavelet transform
- product quality
- video content
- life cycle
- edge detection
- user generated
- human activities
- high frame rate
- wavelet coefficients