Video Classification

• Video classification and image classification models both use images as inputs to predict the probabilities of those images belonging to predefined classes. However, a video classification model also processes the spatio-temporal relationships between adjacent frames to recognize the actions in a video.
• For each frame, pass the frame through the CNN, Classify each frame individually and independently of each other
• Action dataset are mostly use in video classification and video classification data can be use in image classification

Video classification USAA dataset

• Classes : 8
• Total videos : 100 (Each video is labeled by 69 attributes and 69 attributes can be broken down into five broad classes: actions, objects, scenes,sounds, and camera movement.)
• Type of videos : home videos of social occassions which feature activities of group of people

UCF50

• Classes : 50
• Type of videos: Baseball Pitch, Basketball Shooting, Bench Press, Biking, Biking, Billiards Shot,Breaststroke, Clean and Jerk, Diving, Drumming,

Note : Extension of YouTube Action data set

UCF 101

• Classes(Actions) : 101
• Type of videos : Baseball Pitch, Basketball Shooting, Bench Press, Biking, Biking, Billiards Shot,Breaststroke, Clean and Jerk, Diving, Drumming,

Note : Extension of UCF50