The document discusses models for visual words in computer vision. It introduces visual words as a discrete representation of images compared to continuous representations. It describes several models including the bag of words model, latent Dirichlet allocation, single author topic model, constellation model, and scene model. These models treat images as collections of visual words and use probability distributions over words.