Abstract: A content delivery service can process requests for content from requesting user devices. The content delivery service can receive multiple inputs from content sources and determine events in the depictions of the inputs. The content delivery service can generate context information based on processing multiple inputs. The content delivery service can generate content streams from the detected events.

Abstract: A video packaging and origination service can process requests for content segments from requesting user devices. The video packaging and origination service can receive multiple inputs from content sources and determine events in the depictions of the inputs. The video packaging and origination service can generate content streams from the detected events. The content streams can be provided according to subscription requests.

Abstract: Various types of objects or occurrences can be automatically detected in input media being processed using a transcoder. The media content can be analyzed to determine various transitions, such as scene changes, which provide insight into useful locations for performing object recognition. Representative frames subsequent a transition are analyzed to determine whether they are appropriate for image analysis, using factors such as amount of motion, brightness, color, or pixel disparity within the frame. If a representative frame meets the various criteria, that frame is sent to an object recognition service for analysis. The output of the service can be a set of object tags that provide information identifying the object and its location in the media. The output tags can be encoded into the output video or stored to an associated metadata file, among other such options.

Abstract: A video packaging and origination service can process requests for content segments from requesting user devices. The video packaging and origination service can receive multiple inputs from content sources and determine events in the depictions of the inputs. The video packaging and origination service can generate content streams from the detected events.

Abstract: A service for generating textual transcriptions of video content is provided. A textual output generation service utilize machine learning techniques provide additional context for textual transcription. The textual output generation service first utilizes a machine learning algorithm to analyze video data from the video content and identify a set of context keywords corresponding to items identified in the video data. The textual output generation service then identifies one or more custom dictionaries of relevant terms based on the identified keywords. The textual output generation service can then utilize a machine learning algorithm to process the audio data from the video content biased with the selected dictionaries. The processing result can be utilized used to generate closed captioning information, textual content streams or otherwise stored.