Amazon Technologies, Inc.

Michael James Bartholomew

Steve Huynh

Paul Martin

Systems and methods are provided herein for synchronizing content across multiple user devices. Content packets may be individually provided to user devices associated with a group. Each content packet may include a portion of content (e.g., media content) and a content index (e.g., an index that indicates a sequence by which the content packets are to be presented). The user device may begin to play the content packets according to the sequence. The user device may receive a particular content index identifying a particular content packet that occurs latest in the sequence and that has been received by all of the devices of the group. The user device may modify playback of the content packets based at least in part on the particular content index to synchronize playback of the content at the user device with respect to playback at the one or more devices.

Techniques for synchronizing content playback across devices

Embodiments of the present disclosure are directed to, among other things, a system that may receive a stream of data content that corresponds with a content classification. A machine learning (ML) model may be selected based at least in part on the metadata and/or content classification. The data content may be inputted to the ML model and an output from the ML model may indicate that data content is associated with the content classification, a start location, and an end location of the stream of data content. The stream of data content may be truncated or cut by removing portions of the stream of data content that fall before the start location and after the end location. The remaining portion of the stream may be stored as a file and provided to the user device.

State detection of live feed

Computer systems of a multimedia service provider may utilize an artificial intelligence model to automatically match a video content with an existing video title of a catalog, allowing the provider to efficiently and accurately process a high volume of video content being received. The artificial intelligence model may be proceed by analyzing video frames from the video content to extract features and then determining the relevance of a set of features to a particular video title of the catalog. Based on the relevance determination, the computer system may associate the video content with the particular video title. In cases where no match with an existing title is determined, the artificial intelligence model may create a new video title based in part on the extracted features.

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Michael James Bartholomew