Abstract: Natural language processing can analyze language in apparatus, systems, and methods involving audio, including from body camera video footage, which can be transcribed to extract an audio segment from a video track, to identify starting and ending timestamps of voice, to transcribe the at least one audio segment to identify and separate audio of at least a first speaker, and to score the audio of the first speaker to identify interactions of interest. Audio could be analyzed and scored to record verbal performance, respectfulness, wellness, etc. and speakers from the audio can be detected. Evaluations of officer behavior can be labeled by a machine and confirmed by a human reviewer to identify critical events and justification. Voice printing can be used to identify individual speakers and the audio segments can be weighted to identify key phrases. Positive and negative language in an interaction can be identified using natural language processing.

Abstract: The invention relates to a system and method for dynamically zooming and rearranging display items through a series of output displays. In each subsequent output display, visual components making up the display are rearranged and scaled.