1. A method for determining parts and associated 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.