Adaptive Detrending to Accelerate Convolutional Gated Recurrent Unit Training for Contextual Video Recognition.
Minju JungHaanvid LeeJun TaniPublished in: CoRR (2017)
Keyphrases
- human activities
- recognition rate
- recognition accuracy
- pattern recognition
- object recognition
- video frames
- multimedia
- video data
- recognition process
- video content
- contextual information
- recurrent neural networks
- recurrent networks
- video sequences
- video streams
- scalable video
- recognition algorithm
- video retrieval
- video images
- video analysis
- action recognition
- restricted boltzmann machine
- feature extraction
- training set
- supervised learning
- key frames
- convolutional neural networks
- hand gestures
- learning stage
- supervised training
- deep belief networks
- static images
- automatic recognition
- training process
- character recognition
- video clips
- video surveillance
- machine learning
- training examples
- space time