A Recursive Constrained Framework for Unsupervised Video Action Clustering.
Bo PengJianjun LeiHuazhu FuLing ShaoQingming HuangPublished in: IEEE Trans. Ind. Informatics (2020)
Keyphrases
- real time
- unsupervised learning
- main contribution
- clustering method
- computer vision
- multimedia
- clustering algorithm
- video sequences
- k means
- unsupervised manner
- data sets
- information bottleneck
- video classification
- human actions
- spatial and temporal
- probabilistic model
- spatio temporal
- multimedia data
- data clustering
- information theoretic
- video retrieval
- unsupervised clustering
- unsupervised classification
- neural network
- completely unsupervised