Temporal annotation is a method that annotates the changing rules and associations of information over time in temporal data such as videos and audios (such as annotating the time interval of "target appearance-movement-disappearance" in videos, and the time segmentation of "speech-silence-music" in audios), clarifying the temporal features of data, used for temporal analysis and behavior prediction model training.
