Content Type Detection In Videos Using Multiple Classifiers

A non-transitory computer-readable storage medium containing instructions, that when executed, control a computer system to be configured for:

• receiving a set of frames from a video at a first classifier;
• classifying the set of frames with a set of classification scores indicating a confidence that a frame contains end credit content using the first classifier, the first classifier using a first model that classifies content from the set of frames;
• after performing the classifying by the first classifier, adjusting a classification score in the set of classification scores for a frame to another classification score using one or more classification scores from one or more neighboring frames to the frame using a second classifier, the second classifier using a second model that classifies classification scores from the first classifier and not content of the one or more neighboring frames that was used by the first classifier;
• and
• selecting a boundary point in the set of frames between a first frame in the set of frames that is considered to not include end credit content and a second frame in the set of frames that is considered to include end credit content using the adjusted classification score.

An apparatus comprising:

• one or more computer processors;
• and
• a non-transitory computer-readable storage medium comprising instructions, that when executed, control the one or more computer processors to be configured for:
• receiving a set of frames from a video at a first classifier;
• classifying the set of frames with a set of classification scores indicating a confidence that a frame contains end credit content using the first classifier, the first classifier using a first model that classifies content from the set of frames;
• after performing the classifying by the first classifier, adjusting a classification score in the set of classification scores for a frame to another classification score using one or more classification scores from one or more neighboring frames to the frame using a second classifier, the second classifier using a second model that classifies classification scores from the first classifier and not content of the one or more neighboring frames that was used by the first classifier;
• and
• selecting a boundary point in the set of frames between a first frame in the set of frames that is considered to not include end credit content and a second frame in the set of frames that is considered to include end credit content using the adjusted classification score.