Abstract: Methods, systems, and apparatuses may encode a media content item based on metadata from previous encoding. The encoding may also generate encoding metadata, which may comprise a qualitative or quantitative characterization of the encoded media content item. A prediction engine may, based on this metadata, determine new encoding settings for the same or a different video resolution. The prediction engine may cause an encoded media content item to be stored and may cause encoding of the media content item using the new encoding settings.

Abstract: Methods, systems, and apparatuses for updating content data are described herein. Content data may include, for example, manifest files and captions data. A manifest file for a content item may need to be updated when new segments are available for delivery/output. Rather than retrieving an entirely new manifest file, a first manifest file previously received may be updated using a manifest update file(s). The manifest update file(s) may convey any change(s), difference(s), etc., between the first manifest file and the new manifest file that includes content data for the new segments. Captions data may be updated in a similar manner. A captions update may include new captions data corresponding to the new segments, but it may exclude common captions data.

Abstract: A computing device may receive a stream of content (e.g., a live stream of content). The computing device may determine a plurality of representations for the stream of content. The computing device may determine a primary encoder associated with each of the plurality of representations. Determining the primary encoder may be based on the plurality of representations. The computing device may determine viewer data associated with the stream of content. The computing device may determine whether to encode a backup representation for at least one of the plurality of representations. Determining whether to encode the backup representation may be based on the viewer data associated with the stream of content. The computing device may cause at least one backup encoder to encode the backup representation for the at least one of the plurality of representations.

Abstract: Systems and methods are described for processing video data. The system may predict an optimal bit rate for a video segment that satisfies a desired level of quality. The desired level of quality may be associated with a quality metric. The encoder may predict the bit rate using a machine learning model trained based on an analysis of features extracted from video segments encoded with known bit rates. The trained machine learning model may then predict the optimal bit rate for a given video segment that achieves or satisfies the desired level of quality for the quality metric. The video segment may then be encoded based on the predicted bit rate.