For medical or biological videos, deep networks analyze both the single-frame visual data (e.g., cell morphology) and the temporal evolution of the sample over time to classify or detect specific events [1.25]. Learning deep spatiotemporal features for video captioning

A common abbreviation for N on- P neumococcal P neumococci or simply Streptococcus p neumoniae ( S. p. ) within certain clinical workflows. Deep Feature Analysis in Video Recognition

In the broader context of machine learning, a refers to the extraction of complex patterns from video frames using Deep Feature Flow or similar convolutional neural network (CNN) frameworks.