Image processing for analyzing video content
First Claim
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1. An automated method of determining a sequence of intensity measures, each intensity measure corresponding to each of a sequence of recorded video frames, the method comprising using a programmed computer to:
- determine a motion activity measure for each video frame of said sequence to provide a sequence of motion measures;
filter the sequence of motion activity measures;
provide a sequence of intensity measures using said filtered sequence of motion activity measures;
determine a measure of cut frequency to provide a sequence of cut frequency measures;
filter the sequence of cut frequency measures; and
combine the filtered measures to provide said sequence of intensity measures.
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Abstract
A sequence of intensity measures is determined corresponding to each of a sequence of video frames. Such can be used for selection of videos according to user preferences and for providing highlights from a video sequence. Low level video characteristics are used which may be related to arousal and valence affects conveyed to a viewer while watching the video recording.
41 Citations
16 Claims
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1. An automated method of determining a sequence of intensity measures, each intensity measure corresponding to each of a sequence of recorded video frames, the method comprising using a programmed computer to:
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determine a motion activity measure for each video frame of said sequence to provide a sequence of motion measures; filter the sequence of motion activity measures; provide a sequence of intensity measures using said filtered sequence of motion activity measures; determine a measure of cut frequency to provide a sequence of cut frequency measures; filter the sequence of cut frequency measures; and combine the filtered measures to provide said sequence of intensity measures. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9, 10)
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11. An automated method of generating an affect measure for a sequence of recorded video frames having an accompanying sound track, said method comprising using a programmed computer to:
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(a) generate a sequence of intensity measures for the frames of the sequence, said intensity measures depending on the degree of visual activity in the sequence; (b) generate a sequence of valence measures for the frames of the sequence, said valence measures depending on the pitch of the sound track; (c) define ranges of the intensity measures and valence measures; and (d) count for respective combinations of intensity range and valence range the number of video frames whose measures fall into the respective range combination, to produce a multi-element affect measure. - View Dependent Claims (12, 13, 14)
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15. An automated method of determining a sequence of intensity measures, each intensity measure corresponding to each of a sequence of recorded video frames having an associated audio track, the method comprising using a programmed computer to:
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determine a motion activity measure for each frame of said sequence to provide a sequence of motion measures; filter the sequence of motion activity measures; provide the sequence of intensity measures using said filtered sequence of motion activity measures; determine a measure of sound energy in high frequencies for the audio track to provide a sequence of high frequency measures; filter the sequence of sound energy measures; normalize the filtered sequence of sound energy measures; and combine the normalized sequence of sound energy measures with the filtered measures to provide said sequence of intensity measures.
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16. An automated method of determining a sequence of intensity measures, each intensity measure corresponding to each of a sequence of recorded video frames having an associated audio track and then forming an affect measure for a sequence of said video frames, said method comprising using a programmed computer to:
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determine a motion activity measure for each frame of said sequence to provide a sequence of motion measures; filter the sequence of motion activity measures; provide the sequence of intensity measures using said filtered sequence of motion activity measures; determine a pitch measurement for the audio track to provide a sequence of pitch measures; filter the sequence of pitch measures; provide a sequence of valence measures using said filtered sequence of pitch measures; and combine the sequence of valence measures with the sequence of intensity measures to provide a sequence of affect measures.
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Specification