Classifying Segments of Media Content Using Closed Captioning
AssigneeGracenote, Inc.
InventorsAneesh Vartakavi, Lakshika Balasuriya, Chin-Ting Ko
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AssigneeGracenote, Inc.
InventorsAneesh Vartakavi, Lakshika Balasuriya, Chin-Ting Ko
Estimating the term…
In one aspect, an example method includes (i) retrieving, from a text index, closed captioning repetition data for a segment of a sequence of media content; (ii) generating features using the closed captioning repetition data; (iii) providing the features as input to a classification model, wherein the classification model is configured to output classification data indicative of a likelihood of the features being characteristic of a program segment; (iv) obtaining the classification data output by the classification model; (v) determining a prediction of whether the segment is a program segment using the classification data; and (vi) storing the prediction for the segment in a database.
A non-transitory computer-readable medium having stored thereon program instructions that upon execution by a processor, cause performance of a set of operations comprising:
A computer-implemented method comprising:
A computing system comprising:
Dependencies are inferred from the claim text.