continuum landscape: in the spirit of fuzzy logic, the coninuum landscapes provide a way to rank how suitable a given word or set of words is for describing a given image. first the user chooses two antonyms, for instance "hot" and "cold", or "urban" and "rural". the system then finds two images which have been keyed with these descriptions or keywords. A composite landscape is created, which becomes a continuum, in which other images can be placed. In this example, the coninuum is a 1 dimensional gradient, but two, or even three dimensional gradients can be imagined. The placement of an image in the contiuum field gives the system information about where along the continuum the image belongs, and subsequently, provides the system with additional knowlege about the image. an image can be reated in an arbitrary number of landscapes in this way.

time landscape: in the time landscape, the X axis is spacially keyed to automatically harvested (exif) information about when an image was photographed or created. research by microsoft and others has shown that photographs which happen durring the same time tend to be 'about' and 'of' the same event, and contain the same subject matters.

narrative landscape: in a narrative landscape, the photographs are used to tell a story. sub regions of the landscape are manually anotated with keywords, and linked to common sense, and wordnet heiarchies. Images can be placed within this landscape, in various regions. images can be clicked on to get to the next frame of the story.
these naratives can have multiple outcomes, and are non linear. a navigational history (kept at the bottom) records the story as it has progressed so far.