Systems and methods for correcting errors in caption text

A method comprising:

• identifying an erroneous term in a text portion of a video asset;
• identifying an object in a video frame from the video asset, wherein a descriptor of the identified object is not a candidate correction term for the erroneous term;
• analyzing the identified object in the video frame, using image recognition, to identify an object category based on the descriptor of the identified object;
• identifying the candidate correction term for the erroneous term that belongs to the identified object category, wherein the identifying the candidate correction term that belongs to the identified object category comprises:
• extracting a keyword from the text portion of the video asset;
• searching a knowledge graph for nodes corresponding to the identified object category and the keyword;
• analyzing the nodes for properties associated with the identified object category and the keyword;
• and
• determining at least one other node based at least in part on the properties associated with the identified object category and the keyword, wherein the at least one other node corresponds to the candidate correction term that belongs to the identified object category;
• and
• replacing the erroneous term in the text portion of the video asset with the identified candidate correction term.

A system comprising:

• an input/output circuitry configured to receive a video asset;
• and
• a control circuitry configured to:
• identify an erroneous term in a text portion of the video asset;
• identify a non-textual visual object in a video frame from the video asset that is associated with the erroneous term, wherein a descriptor associated with the identified non-textual visual object is not a candidate correction term for the erroneous term, and wherein the non-textual visual object comprises an image of a person;
• analyze the identified non-textual visual object in the video frame, using image recognition, to identify an object category based on the descriptor associated with the identified non-textual visual object, wherein the identified object category comprises an indication of an identity of the person;
• identify the candidate correction term for the erroneous term that belongs to the identified object category;
• and
• replace the erroneous term in the text portion of the video asset with the identified candidate correction term.