Faster computation and more memory have opened up new avenues of
research in image and video analysis. One method that strays
particularly far from the classical bottom-up or geometric approach to
computer vision is ``image similarity based image analysis''. This is
a family of techniques which considers the image as a whole as the
fundamental atom of analysis. A collection of images defines an image
space, through a collection of techniques which map image
similarities (however measured) between multiple images to a location
of each image as a point in space. This gives new tools for image and
video analysis.