22. A process for supporting computer infrastructure, said process comprising providing at least one support service for at least one of creating, integrating, hosting, maintaining, and deploying computer-readable code in a computer system, wherein the code in combination with the computing system is capable of performing a method for estimating parts and attributes of an object in video, said method comprising: receiving a video input; detecting an object from said video input and cropping an image of said object from said video input; receiving a plurality of semantic attributes with associated parts for said object; producing and storing a plurality of versions of said image, each version having a different resolution of said image of said object; computing an appearance score at each region of a plurality of regions on the lowest resolution version of said versions of said image of said object for said plurality of semantic attributes, said appearance score for at least one semantic attribute of the plurality of semantic attributes for each region denoting a probability of each semantic attribute of the at least one semantic attribute appearing in the region; analyzing increasingly higher resolution versions than the lowest resolution version to compute a resolution context score for each region in the lowest resolution version, said resolution context score in the lowest resolution version being indicative of an extent to which finer spatial structure exists in the increasingly higher resolution versions than in the lowest resolution version for each region; ascertaining an optimized configuration of body parts and associated semantic attributes in the lowest resolution version, said ascertaining utilizing the appearance scores and the resolution context scores in the regions in the lowest resolution version; and displaying and/or storing said optimized configuration of body parts and associated semantic attributes.
22. A process for supporting computer infrastructure, said process comprising providing at least one support service for at least one of creating, integrating, hosting, maintaining, and deploying computer-readable code in a computer system, wherein the code in combination with the computing system is capable of performing a method for estimating parts and attributes of an object in video, said method comprising: receiving a video input; detecting an object from said video input and cropping an image of said object from said video input; receiving a plurality of semantic attributes with associated parts for said object; producing and storing a plurality of versions of said image, each version having a different resolution of said image of said object; computing an appearance score at each region of a plurality of regions on the lowest resolution version of said versions of said image of said object for said plurality of semantic attributes, said appearance score for at least one semantic attribute of the plurality of semantic attributes for each region denoting a probability of each semantic attribute of the at least one semantic attribute appearing in the region; analyzing increasingly higher resolution versions than the lowest resolution version to compute a resolution context score for each region in the lowest resolution version, said resolution context score in the lowest resolution version being indicative of an extent to which finer spatial structure exists in the increasingly higher resolution versions than in the lowest resolution version for each region; ascertaining an optimized configuration of body parts and associated semantic attributes in the lowest resolution version, said ascertaining utilizing the appearance scores and the resolution context scores in the regions in the lowest resolution version; and displaying and/or storing said optimized configuration of body parts and associated semantic attributes. 23. The process of claim 22 , said method further comprising: computing a geometric score for each region of said plurality of regions on the lowest resolution version, 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.