Active Learning for Video Description with Cluster-Regularized Ensemble Ranking.
David M. ChanSudheendra VijayanarasimhanDavid A. RossJohn F. CannyPublished in: ACCV (5) (2020)
Keyphrases
- active learning
- video sequences
- training set
- ranking algorithm
- real time
- learning algorithm
- multimedia
- video data
- video streams
- video frames
- video analysis
- data clustering
- video content
- video clips
- feature ranking
- content description
- learning to rank
- random forest
- random sampling
- selective sampling
- query by committee
- event detection
- machine learning
- ranking functions
- least squares
- expected loss
- relevance feedback
- neural network
- high level
- ensemble learning
- clustering algorithm
- data sets
- individual features
- cluster ensemble
- feature selection
- class imbalance
- semi supervised
- video retrieval
- web search