Semantic parsing of objects in video
First Claim
Patent Images
1. A method comprising:
- producing a plurality of versions of an image of an object derived from an input, wherein each version comprises one of one multiple resolutions of said image of said object;
computing an appearance probability at each of a plurality of regions on the one or more lowest resolution versions of said plurality of versions of said image for at least one attribute for said object;
computing a resolution context score for each of the plurality of regions in the one or more lowest resolution versions, wherein the resolution context score comprises a weighted average computed from a plurality of scores for a next higher resolution version of said image;
computing a geometric score for each region of said plurality of regions in the one or more lowest resolution versions, said geometric score computing a probability of a region matching stored reference data for a reference object corresponding to the detected object with respect to angles and distances among the plurality of regions;
determining a configuration of the at least one attribute in the one or more lowest resolution versions based on at least the appearance probability, the resolution context score, and the geometric score in each of the plurality of regions; and
outputting said configuration.
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Abstract
Methods, systems, and computer program products for parsing objects are provided herein. A method includes producing a plurality of versions of an image of an object derived from an input, wherein each version comprises one of one multiple resolutions of said image of said object; computing an appearance probability at each of a plurality of regions on the one or more lowest resolution versions of said plurality of versions of said image for at least one attribute for said object; determining a configuration of the at least one attribute in the one or more lowest resolution versions based on at least the appearance probability in each of the plurality of regions; and outputting said configuration.
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Citations
12 Claims
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1. A method comprising:
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producing a plurality of versions of an image of an object derived from an input, wherein each version comprises one of one multiple resolutions of said image of said object; computing an appearance probability at each of a plurality of regions on the one or more lowest resolution versions of said plurality of versions of said image for at least one attribute for said object; computing a resolution context score for each of the plurality of regions in the one or more lowest resolution versions, wherein the resolution context score comprises a weighted average computed from a plurality of scores for a next higher resolution version of said image; computing a geometric score for each region of said plurality of regions in the one or more lowest resolution versions, said geometric score computing a probability of a region matching stored reference data for a reference object corresponding to the detected object with respect to angles and distances among the plurality of regions; determining a configuration of the at least one attribute in the one or more lowest resolution versions based on at least the appearance probability, the resolution context score, and the geometric score in each of the plurality of regions; and outputting said configuration. - View Dependent Claims (2, 3, 4, 5)
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6. A non-transitory computer readable medium storing a computer program product having computer readable program code embodied in the computer readable storage hardware device, said computer readable program code containing instructions that perform a method for estimating parts and attributes of an object, said method comprising:
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producing a plurality of versions of an image of an object derived from an input, wherein each version comprises one of one multiple resolutions of said image of said object; computing an appearance probability at each of a plurality of regions on the one or more lowest resolution versions of said plurality of versions of said image for at least one attribute for said object; computing a resolution context score for each of the plurality of regions in the one or more lowest resolution versions, wherein the resolution context score comprises a weighted average computed from a plurality of scores for a next higher resolution version of said image; computing a geometric score for each region of said plurality of regions in the one or more lowest resolution versions, said geometric score computing a probability of a region matching stored reference data for a reference object corresponding to the detected object with respect to angles and distances among the plurality of regions; determining a configuration of the at least one attribute in the one or more lowest resolution versions based on at least the appearance probability, the resolution context score, and the geometric score in each of the plurality of regions; and outputting said configuration. - View Dependent Claims (7, 8, 9, 10)
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11. A computer system comprising a processor and a computer readable memory unit coupled to the processor, said computer readable memory unit containing instructions that when run by the processor implement a method for estimating parts and attributes of an object, said method comprising:
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producing a plurality of versions of an image of an object derived from an input, wherein each version comprises one of one multiple resolutions of said image of said object; computing an appearance probability at each of a plurality of regions on the one or more lowest resolution versions of said plurality of versions of said image for at least one attribute for said object; computing a resolution context score for each of the plurality of regions in the one or more lowest resolution versions, wherein the resolution context score comprises a weighted average computed from a plurality of scores for a next higher resolution version of said image; computing a geometric score for each region of said plurality of regions in the one or more lowest resolution versions, said geometric score computing a probability of a region matching stored reference data for a reference object corresponding to the detected object with respect to angles and distances among the plurality of regions; determining a configuration of the at least one attribute in the one or more lowest resolution versions based on at least the appearance probability, the resolution context score, and the geometric score in each of the plurality of regions; and outputting said configuration. - View Dependent Claims (12)
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Specification