Abstract: Input data comprising video and associated audio is processed to generate recap data, such as video with audio that summarizes previous occurrence and entices a viewer. The input data is processed to generate dense text data that includes timestamps, dialogue, descriptions of scenes of the video, and so forth. The input data is also processed to generate summary data, such as scene, episode, and season summaries. A set of one or more machine learning (ML) systems use this as input to generate a narration script. Narration audio is generated from the narration script. The narration script is then used to generate sections of a recap such as an intro, teaser, detail, and outro. Each portion may include narration audio, clips of video, video clips of relevant dialog, background music, audio effects, and so forth. The duration of elements may be constrained based on the presentation of associated narration audio.

Abstract: A biometric identification system may store biometric data for later assessment. Data storage parameters, such as cryptographic keys used to encrypt and decrypt the biometric data, may be determined based on the biometric data. In one implementation, the biometric data comprises embedding data in an embedding space. During enrollment and storage, the embedding data is assessed to determine nearest anchor data in the embedding space. Cryptographic parameters, such as an encryption key, are determined based on “k” anchor data that are within a threshold distance of the embedding data in the embedding space. During query, query embedding data is similarly processed to determine cryptographic parameters, such as a decryption key. The decryption key may then be used to attempt decryption of the encrypted at-rest biometric data. If successful, the decrypted biometric data may then be compared to the query embedding to assert an identity.