Abstract: Systems, methods, and media for navigating video content are disclosed. Systems, methods, and media can receive at least a first video content item; select a first subset of video frames; identify, using a first computer vision model, a plurality of sets of visual features; generate, using a first language model, a plurality of sets of caption data for the first subset of video frames; generate, using a first speech recognition model, recognized speech data based at least on the audio data of the first video content item; receive first user query data; generate, using a second language model, at least a first textual response to the first user query data; determine, using a third language model, first relevant video frames of the first subset of video frames which are associated with respective time positions; and cause one or more selectable links to the respective time positions to be presented.

Abstract: Systems, methods, and media for navigating video content are disclosed. Systems, methods, and media can receive at least a first video content item; select a first subset of video frames; identify, using a first computer vision model, a plurality of sets of visual features; generate, using a first language model, a plurality of sets of caption data for the first subset of video frames; generate, using a first speech recognition model, recognized speech data based at least on the audio data of the first video content item; receive first user query data; generate, using a second language model, at least a first textual response to the first user query data; determine, using a third language model, first relevant video frames of the first subset of video frames which are associated with respective time positions; and cause one or more selectable links to the respective time positions to be presented.