EarthNet2021: A large-scale dataset and challenge for Earth surface forecasting as a guided video prediction task.
Christian Requena-MesaVitus BensonMarkus ReichsteinJakob RungeJoachim DenzlerPublished in: CoRR (2021)
Keyphrases
- prediction model
- trecvid multimedia event detection
- video images
- video data
- financial time series
- stock market prediction
- grey model
- failure prediction
- prediction accuracy
- weakly labeled
- event detection
- video sequences
- human actions
- event recognition
- video content
- three dimensional
- visual object classes
- scalable video coding
- video dataset
- real time
- forecasting accuracy
- video frames
- benchmark datasets
- d objects
- million images
- exponential smoothing
- video analysis
- video shots
- space time
- prediction error
- short term
- video retrieval
- video database
- real world
- real life
- remote sensing
- web videos
- stock market
- video surveillance
- predictive model
- bitstream
- load forecasting
- key frames
- earth science
- surface reconstruction
- chaotic time series
- exchange rate
- action recognition
- data intensive
- visual features
- closed captions
- stock price