@patent{Cerf_etal07pat,
author = {Christof Koch and Moran Cerf and Paxon Frady},
title = {Automatic prediction of human gaze in visuals by localizing faces and text elements},
year = {2007},
abstract = {A computational model for predicting voluntary attentional shifts using high level semantic information (faces, text, etc) from the image, combined with low level features (color, luminance, orientation, etc). This predictive model can be applied to automatically evaluate and optimize sales or advertisement displays, to correctly allocate resources for rapid viewing of images, and to efficiently evaluate commercial potential in predicting where consumers will look. The model has applications varying from engineering to art.}
note = {Provisional application filed November 19, 2007},
organization = {California Institute of Technology, Pasadena, California}}