1. A method of generating preference indices for image content utilizing one or more special-purpose computing devices to operate as a neural network and as another neural network, to operate without further human intervention, in which the one or more special-purpose computing devices includes one or more processors and one or more memory devices, comprising: accessing computer instructions from the one or more memory devices of the one or more special-purpose computing devices for execution on the one or more processors of the one or more special-purpose computing devices; executing the accessed computer instructions utilizing the one or more computing devices; and storing, in the one or more memory devices of the one or more special-purpose computing devices, any results of having executed the accessed computer instructions on the one or more processors of the one or more special-purpose computing devices, wherein the computer instructions to be executed comprise instructions for generating a term-independent preference index for a contiguous portion of an image using the another neural network, the another neural network including neural network parameters developed for the neural network to identify one or more object labels for a captured image, the another neural network including at least one classifier, not present in the neural network, to receive signal sample values from one or more fully-connected layers of the another neural network and to generate signal sample values corresponding to the preference indices based, at least in part, on the at least one classifier.