Pass individual video frames through models like ResNet or Vision Transformers (ViT) available in PyTorch or TensorFlow to extract frame-level feature vectors.
Use specialized video models like I3D , C3D , or SlowFast to extract features that capture movement and time-based context.
If you are looking to extract spatial or temporal deep features for machine learning or computer vision tasks, you can use the following common approaches:
