Apparatus and method to select video segments of content. One or more neural networks (NNs; e.g., convolutional neural networks, CNNs) are used to select 506 one or more video segments from video file(s) based at least in part upon an indication of one or more emotions (e.g., intensity or duration of emotions), of viewer(s) of the video segment(s), during presentation of the video segment(s). Video segments may be further selected based on inferred context, representing coherent events. Infrared (IR) eye images may be used. Video segments may correspond to virtual reality (VR) content, captured by IR cameras of VR headsets (head mounted displays, HMDs) worn by viewers. Video may be provided to a highlight aggregator for generating a highlight montage including a subset of video segments.
Highlight determination using one or more neural networks