Video structuring by probabilistic merging of video segments
First Claim
1. A method for structuring video by probabilistic merging of video segments, said method comprising the steps of:
- a) obtaining a plurality of frames of unstructured video;
b) generating video segments from the unstructured video by detecting shot boundaries based on color dissimilarity between consecutive frames;
c) extracting a feature set by processing pairs of said segments, said extracting generating an inter-segment color dissimilarity feature and an inter-segment temporal relationship feature of each said pair of segments, said inter-segment temporal relationship feature including metrics of temporal separation between the segments of the respective said pair and accumulated duration of the segments of the respective said pair; and
d) merging video segments with a merging criterion that applies a probabilistic analysis to the features of the feature set, thereby generating a merging sequence representing the video structure.
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Abstract
A method for structuring video by probabilistic merging of video segments includes the steps of obtaining a plurality of frames of unstructured video; generating video segments from the unstructured video by detecting shot boundaries based on color dissimilarity between consecutive frames; extracting a feature set by processing pairs of segments for visual dissimilarity and their temporal relationship, thereby generating an inter-segment visual dissimilarity feature and an inter-segment temporal relationship feature; and merging video segments with a merging criterion that applies a probabilistic analysis to the feature set, thereby generating a merging sequence representing the video structure. The probabilistic analysis follows a Bayesian formulation and the merging sequence is represented in a hierarchical tree structure.
75 Citations
25 Claims
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1. A method for structuring video by probabilistic merging of video segments, said method comprising the steps of:
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a) obtaining a plurality of frames of unstructured video; b) generating video segments from the unstructured video by detecting shot boundaries based on color dissimilarity between consecutive frames; c) extracting a feature set by processing pairs of said segments, said extracting generating an inter-segment color dissimilarity feature and an inter-segment temporal relationship feature of each said pair of segments, said inter-segment temporal relationship feature including metrics of temporal separation between the segments of the respective said pair and accumulated duration of the segments of the respective said pair; and d) merging video segments with a merging criterion that applies a probabilistic analysis to the features of the feature set, thereby generating a merging sequence representing the video structure. - View Dependent Claims (2, 3, 4, 5, 6, 7, 8, 9)
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10. A method for structuring video by probabilistic merging of video segments, said method comprising the steps of:
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a) obtaining a plurality of frames of unstructured video; b) generating video segments from the unstructured video by detecting shot boundaries based on color dissimilarity between consecutive frames; c) extracting a feature set by processing pairs of said segments, said extracting generating an inter-segment color dissimilarity feature and an inter-segment temporal feature of each said pair of segments, said inter-segment temporal feature including metrics of temporal seperation between the segments of the respective said pair and accumulated duration of the segments of the respective said pair; and d) merging video segments with a merging criterion that applies a probabilistic analysis to the features of the feature set, thereby generating a merging sequence representing the video structure; wherein step d) comprises the steps of; generating parametric mixture models to represent class-conditional densities of inter-segment features of the feature set, said parametric mixture models being statistical models; and applying the merging criterion to the parametric mixture models. - View Dependent Claims (11, 12)
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13. A computer storage medium having instructions stored therein for causing a computer to perform the acts of:
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generating video segments from unstructured video by detecting shot boundaries based on color dissimilarity between consecutive frames; extracting a feature set by processing pairs of segments, said extracting generating an inter-segment color dissimilarity feature and an inter-segment temporal feature of each said pair of segments, said inter-segment temporal feature including metrics of temporal separation between the segments of the respective said pair and accumulated duration of the segments of the respective said pair; and merging video segments with a merging criterion that applies a probabilistic analysis to the features of the feature set, thereby generating a merging sequence representing the video structure; wherein said merging further comprises the steps of; generating statistical models of the feature set; and applying the merging criterion to the statistical models.
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14. A method for structuring video by probabilistic merging of video segments, said method comprising the steps of:
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a) obtaining a plurality of frames of unstructured video; b) generating video segments from the unstructured video by detecting shot boundaries based on color dissimilarity between consecutive video frames; c) extracting a feature set by processing pairs of segments, said extracting generating an inter-segment color dissimilarity feature and an inter-segment temporal feature of each said pair of segments, said inter-segment temporal feature including metrics of temporal separation between the segments of the respective said pair and accumulated duration of the segments of the respective said pair; d) generating a parametric mixture model of the inter-segment features comprising the feature set, said parametric mixture model being a statistical model; and e) merging video segments with a merging criterion that applies a probabilistic Bayesian analysis to the parametric mixture model, thereby generating a merging sequence representing the video structure. - View Dependent Claims (15, 16, 17, 18, 19)
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20. A computer storage medium having instructions stored therein for causing a computer to perform acts for structuring video by probabilistic merging of video segments, the acts including:
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obtaining a plurality of frames of unstructured video; generating video segments from the unstructured video by detecting shot boundaries based on color dissimilarity between consecutive video frames; extracting a feature set by processing pairs of segments, said extracting generating an inter-segment color dissimilarity feature and an inter-segment temporal feature of each said pair of segments, said inter-segment temporal feature including metrics of temporal separation between the segments of the respective said pair and accumulated duration of the segments of the respective said pair; generating a parametric mixture model of the inter-segment features comprising the feature set, said parametric mixture model being a statistical model; and merging video segments with a merging criterion that applies a probabilistic Bayesian analysis to the parametric mixture model, thereby generating a merging sequence representing the video structure.
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21. A method for structuring video by probabilistic merging of video segments, said method comprising the steps of:
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a) obtaining a plurality of frames of unstructured video; b) generating video segments from the unstructured video by detecting shot boundaries based on color dissimilarity between consecutive video frames; c) extracting a feature set by processing pairs of segments, said extracting generating an inter-segment color dissimilarity feature and an inter-segment temporal feature of each said pair of segments, said inter-segment temporal feature including metrics of temporal separation between the segments of the respective said pair and accumulated duration of the segments of the respective said pair; d) merging adjacent video segments with a merging criterion that applies a probabilistic Bayesian analysis to parametric mixture models derived from the feature set, said parametric mixture models being statistical models, thereby generating a merging sequence; and e) representing the merging sequence in a hierarchical tree structure. - View Dependent Claims (22)
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23. A computer storage medium having instructions stored therein for causing a computer to perform probabilistic merging of video segments, said instructions performing the acts of:
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a) obtaining a plurality of frames of unstructured video; b) generating video segments from the unstructured video by detecting shot boundaries based on color dissimilarity between consecutive video frames; c) extracting a feature set by processing pairs of segments, said extracting generating an inter-segment color dissimilarity feature and an inter-segment temporal feature of each said pair of segments, said inter-segment temporal feature including metrics of temporal separation between the segments of the respective said pair and accumulated duration of the segments of the respective said pair; d) merging adjacent video segments with a merging criterion that applies a probabilistic Bayesian analysis to parametric mixture models derived from the feature set, said parametric mixture models being a statistical models, thereby generating a merging sequence; and e) representing the merging sequence in a hierarchical tree structure.
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24. A method for structuring video by probabilistic merging of video segments, said method comprising the steps of:
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generating video segments from a plurality of frames of unstructured video by detecting shot boundaries based on color dissimilarity between consecutive frames; computing an inter-segment color dissimilarity feature and an inter-segment temporal relationship feature of each said pair of segments, said inter-segment temporal relationship feature including metrics of temporal separation between the segments of the respective said pair and accumulated duration of the segments of the respective said pair; and d) merging video segments with a merging criterion that applies a probabilistic analysis to said features, thereby generating a merging sequence representing the video structure. - View Dependent Claims (25)
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Specification