Data describing method and data processor
First Claim
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1. A signal describing method for describing feature data characteristic of input data, comprising the steps of:
- dividing said input data into a plurality of segments;
calculating features of a respective segment, wherein a color feature is calculated by denoting a color histogram;
measuring similarities between segments based on their calculated features;
grouping said segments into scenes based on their calculated features and measured similarities;
generating feature data corresponding to said scenes;
transmitting said feature data with said input data,wherein said feature data is described using descriptors each having its attributes defined as lower-level elements;
establishing a dissimilarity threshold by a user-defined setting or an automated setting; and
establishing a temporal threshold as a maximum interval between two segments on a time base,wherein two segments that have a time gap that exceeds the temporal threshold are determined to be in different scenes.
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Abstract
As a unit element for defining a describing procedure for description of a feature data characteristic of the content of a video data, a descriptor is formed in a description format structured to have its attribute as lower-level element and which may include other descriptor as attribute. That is, the description format for the descriptor consists of a feature indicative of a descriptor or attribute as lower level element, and a feature type indicative of the data type of the feature.
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Citations
14 Claims
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1. A signal describing method for describing feature data characteristic of input data, comprising the steps of:
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dividing said input data into a plurality of segments; calculating features of a respective segment, wherein a color feature is calculated by denoting a color histogram; measuring similarities between segments based on their calculated features; grouping said segments into scenes based on their calculated features and measured similarities; generating feature data corresponding to said scenes; transmitting said feature data with said input data, wherein said feature data is described using descriptors each having its attributes defined as lower-level elements; establishing a dissimilarity threshold by a user-defined setting or an automated setting; and establishing a temporal threshold as a maximum interval between two segments on a time base, wherein two segments that have a time gap that exceeds the temporal threshold are determined to be in different scenes. - View Dependent Claims (2, 3, 4)
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5. A data processor for generating feature data characteristic of input data, comprising:
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dividing means for dividing said input data into a plurality of segments; calculating means for calculating features of a respective segment, said calculating means being operable to calculate a color feature denoting a color histogram; measuring means for measuring similarities between segments based on their calculated features; grouping means for grouping said segments into scenes based on their calculated features and measured similarities; generating means for generating feature data corresponding to said scene; transmitting means for transmitting said feature data with said input data, wherein said feature data is described using descriptors each having its attributes defined as lower-level elements; means for establishing a dissimilarity threshold by a user-defined setting or an automated setting; and means for establishing a temporal threshold as a maximum interval between two segments on a time base, wherein two segments that have a time gap that exceeds the temporal threshold are determined to be in different scenes. - View Dependent Claims (6, 7, 8, 9)
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10. A data processor for utilizing feature data characteristic of input data, comprising:
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dividing means for dividing said input data into a plurality of segments; calculating means for calculating features of a respective segment, said calculating means being operable to calculate a color feature denoting a color histogram; measuring means for measuring similarities between segments based on their calculated features; grouping means for grouping said segments into scenes based on their calculated features and measured similarities; generating means for generating feature data corresponding to said scene; transmitting means for transmitting said feature data with said input data; means for restoring a feature of the input data using feature data described with descriptors each having its attributes defined as lower-level elements; means for establishing a dissimilarity threshold by a user-defined setting or an automated setting; and means for establishing a temporal threshold as a maximum interval between two segments on a time base, wherein two segments that have a time gap that exceeds the temporal threshold are determined to be in different scenes. - View Dependent Claims (11, 12, 13, 14)
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Specification