Detection of frame informativeness in endoscopic videos using image quality and recurrent neural networks.
T. G. W. BoersJoost van der PuttenJeroen de GroofMaarten R. StruyvenbergKiki FockensWouter L. CurversErik J. SchoonFons van der SommenJacques J. BergmanPeter H. N. de WithPublished in: Medical Imaging: Image Processing (2020)
Keyphrases
- recurrent neural networks
- image quality
- endoscopic video
- video frames
- feed forward
- neural network
- artificial neural networks
- endoscopic images
- visual quality
- echo state networks
- recurrent networks
- image data
- neighboring frames
- quality assessment
- multi modal fusion
- reservoir computing
- feedforward neural networks
- human visual system
- compression ratio
- neural model
- temporal coherence
- video sequences
- bit rate
- high quality
- standard test images
- detection algorithm
- cascade correlation
- object detection
- nonlinear dynamic systems
- key frames
- error diffusion
- video quality
- artificial intelligence
- real time