18. The device of claim 13 , wherein the one or more processors are further configured to apply a space partitioning algorithm to a feature descriptor space including target multi-resolution feature descriptors processed at the first scale space resolution to generate first scale space resolution portions of a plurality of different tree data structures, and apply the space partition algorithm to the feature descriptor space including corresponding target multi-resolution feature descriptors processed at the second scale space resolution to generate second scale space resolution portions of the different tree data structures, wherein the one or more processors are further configured to, when generating the data structure, traverse at least a portion of each of the different tree data structures based on the multi-resolution query feature descriptor to determine a plurality of multi-resolution histogram representations of the multi-resolution query feature descriptor.
18. The device of claim 13 , wherein the one or more processors are further configured to apply a space partitioning algorithm to a feature descriptor space including target multi-resolution feature descriptors processed at the first scale space resolution to generate first scale space resolution portions of a plurality of different tree data structures, and apply the space partition algorithm to the feature descriptor space including corresponding target multi-resolution feature descriptors processed at the second scale space resolution to generate second scale space resolution portions of the different tree data structures, wherein the one or more processors are further configured to, when generating the data structure, traverse at least a portion of each of the different tree data structures based on the multi-resolution query feature descriptor to determine a plurality of multi-resolution histogram representations of the multi-resolution query feature descriptor. 19. The device of claim 18 , wherein the one or more processors are further configured to, when performing the visual search, compute, for each of the plurality of multi-resolution histogram representations of the multi-resolution query feature descriptor, a distance from target multi-resolution histogram representations of the target multi-resolution feature descriptors generated by traversing the corresponding one of the plurality of tree data structures, aggregate a minimum one of the distances computed for each of the plurality of multi-resolution histogram representations of the multi-resolution query feature descriptor to determine a similarity between the multi-resolution histogram representation and the target multi-resolution histogram representations, and determine identification data based on the similarity, the identification data associated with one or more of the target multi-resolution histogram representations from which the minimum distance was computed, the identification data classifying the one or more objects included within the query image, wherein the one or more processors are further configured to transmit the identification data to a client device that provided the multi-resolution feature descriptor.