Automatic Glottis Detection and Segmentation in Stroboscopic Videos Using Convolutional Networks.
Divya DegalaM. V. Achuth RaoRahul KrishnamurthyPebbili GopikishoreVeeramani PriyadharshiniPrakash T. K.Prasanta Kumar GhoshPublished in: INTERSPEECH (2020)
Keyphrases
- lesion segmentation
- fully automatic
- temporal segmentation
- features extraction
- segmentation algorithm
- segmentation method
- complex background
- video scene
- reliable detection
- social networks
- segmentation accuracy
- cell segmentation
- level set
- video sequences
- multi modal fusion
- automatic detection
- endoscopic video
- image segmentation
- detection rate
- object segmentation
- false positives
- fully unsupervised
- visual analysis
- deep learning
- detection method
- video analysis
- semi automatic
- video segmentation
- foreground background segmentation
- face detection
- statistical classification
- low signal to noise ratio
- moving objects
- visual features
- fracture detection
- anomaly detection
- motion segmentation
- background modeling
- video frames
- video indexing
- event detection
- video database