System and method for automated classification of text by time slicing
First Claim
1. For use in an information processing system, an apparatus for automatically classifying video signals comprising:
- a processora keyframe classifier for segmenting the video signals into an initial set of one or more story segments; and
a text classifier controller adapted for;
providing multiple classifications of text, said text classifier controller reading text having a plurality of keywords contained within at least one of the story segments,identifying one or more keywords within each of two or more lines of said text,in response to identifying at least one of said keywords, classifying each of said lines of text as a part of one or more classifications of said video signals that have been segmented into said at least one story segment, andin response to a comparison of said identified keywords, identifying a keyword transition point within said at least one story segment between two adjacent portions of text, wherein a number of keywords detected in a keyword category for at least one line of text prior to the keyword transition point either decreases below a first threshold number or increases above a second threshold number.
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Abstract
For use in an information processing system, there is disclosed a system and method for automatically classifying text. The system comprises a text classifier controller that reads text having one or more keywords contained within one or more story segments within the text. The text classifier controller identifies keywords within each line, and, in response to identifying at least one keyword within a line of text, classifies that line of text as a part of a story segment within the text. The text classifier controller also identifies keyword transition points in the text where the number of detected keywords in a particular category of keywords decreases below a threshold number. The text classifier controller also identifies keyword transition points in the text where the number of detected keywords in a particular category of keywords increases above a threshold number. The text classifier controller classifies story segments based on the location of the keyword transition points.
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Citations
24 Claims
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1. For use in an information processing system, an apparatus for automatically classifying video signals comprising:
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a processor a keyframe classifier for segmenting the video signals into an initial set of one or more story segments; and a text classifier controller adapted for; providing multiple classifications of text, said text classifier controller reading text having a plurality of keywords contained within at least one of the story segments, identifying one or more keywords within each of two or more lines of said text, in response to identifying at least one of said keywords, classifying each of said lines of text as a part of one or more classifications of said video signals that have been segmented into said at least one story segment, and in response to a comparison of said identified keywords, identifying a keyword transition point within said at least one story segment between two adjacent portions of text, wherein a number of keywords detected in a keyword category for at least one line of text prior to the keyword transition point either decreases below a first threshold number or increases above a second threshold number. - View Dependent Claims (2, 3, 4, 5, 6)
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7. An information processing system of the type comprising:
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a video story segmentation device; a keyword library; and a classification device; wherein said information processing system includes a text classifier controller adapted for; reading text having a plurality of keywords contained within at least one story segment within said text, identifying one or more keywords within each of two or more lines of said text, in response to identifying at least one of said keywords, classifying each of said lines of text as a part of said at least one story segment into one or more classifications of said at least one story segment within said text, and in response to a comparison of said identified keywords, identifying a keyword transition point within said at least one story segment between two adjacent portions of text, wherein a number of keywords detected in a keyword category for at least one line of text prior to the keyword transition point either decreases below a first threshold number or increases above a second threshold number. - View Dependent Claims (8, 9, 10, 11, 12)
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13. For use in an information processing system, a computer-implemented method of automatically classifying audio and visual signals comprising the steps of:
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initially segmenting the audio and visual signals based upon keyframe identification into one or more story segments; reading text having a plurality of keywords contained within at least one story segment; identifying one or more keywords within each of two or more lines of said text; in response to identifying at least one of said keywords, classifying each of said lines of text as a part of one or more classifications of said audio and visual signals that have been segmented into said at least one story segment; and in response to a comparison of said identified keywords, identifying a keyword transition point within said at least one story segment between two adjacent portions of text, wherein a number of keywords detected in a keyword category for at least one line of text prior to the keyword transition point either decreases below a first threshold number or increases above a second threshold number. - View Dependent Claims (14, 15, 16, 17, 18)
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19. For use in a computerized information processing system, computer-executable instructions stored on a computer-readable storage medium for automatically classifying text, the computer-executable instructions comprising the steps of:
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initially segmenting a video into one or more story segments based upon keyframes; reading text having a plurality of keywords contained within at least one story segment; identifying one or more keywords within each of two or more lines of said text; in response to identifying at least one of said keywords, classifying each of said lines of text as a part of one or more classifications of said video that have been segmented into said at least one story segment; and in response to a comparison of said identified keywords, identifying a keyword transition point within said at least one story segment between two adjacent portions of text, wherein a number of keywords detected in a keyword category for at least one line of text prior to the keyword transition point either decreases below a first threshold number or increases above a second threshold number. - View Dependent Claims (20, 21, 22, 23, 24)
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Specification