Real-time automated classification system

A machine-implemented method for providing real-time automated logging of broadcast content, comprising:

• receiving log data generated during generation of the broadcast content from one or more devices associated with generation of the broadcast content, wherein the log data comprises time code information, text information, audio log data, real-time graphic system log data, tally log data, switcher log data, newsroom system log data, MOS gateway log data, replay log data, character generator log data, video playout log data, or a combination thereof;
• generating, from one or more features derived from the log data, metadata comprising data indicative of content within the broadcast content;
• and
• performing, during broadcasting of the broadcast content and based on the metadata, automated control, automated suggestions, automated reporting, or a combination thereof.

A real-time automated classification system, comprising:

• a machine learning module implemented at least partially by one or more processors executing, wherein the machine learning module is configured to:
• receive log data generated during generation of broadcast content from one or more devices associated with generation of the broadcast content, wherein the log data comprise time code information, text information, audio log data, real-time graphic system log data, tally log data, switcher log data, newsroom system log data, MOS gateway log data, replay log data, character generator log data, video playout log data, or a combination thereof;
• derive one or more features from the log data by characterizing the log data, correlating the log data, or both;
• generate metadata associated with the broadcast content from the one or more features derived from the log data;
• and
• perform, during broadcasting of the broadcast content, automated control, automated suggestions, automated reporting, or a combination thereof, based on the metadata.