Accuracy vs. Energy: An Assessment of Bee Object Inference in Videos from On-Hive Video Loggers with YOLOv3, YOLOv4-Tiny, and YOLOv7-Tiny.
Vladimir A. KulyukinAleksey V. KulyukinPublished in: Sensors (2023)
Keyphrases
- video data
- video sequences
- video content
- video frames
- video clips
- video database
- successive frames
- video analysis
- video indexing
- video editing
- video objects
- video scene
- key frames
- event recognition
- video search
- spatiotemporal features
- video images
- video segments
- video streams
- stationary camera
- video dataset
- online video
- input video
- video sharing
- youtube videos
- content based copy detection
- motion trajectories
- surveillance videos
- video retrieval
- d objects
- video surveillance
- video shots
- moving camera
- foreground background segmentation
- object tracking
- video browsing
- user generated
- multimedia
- bayesian networks
- spatial and temporal
- video annotation
- object motion
- object segmentation
- human actions
- high definition
- video classification
- temporal information
- video representation
- video signals
- motion features
- event detection
- energy consumption
- news video
- swarm intelligence
- video copy detection
- weakly labeled
- moving objects
- video summarization
- instructional videos
- temporal coherence