Exploring a new space of features for document classification: figure clustering

Automatic document classification is an important step in organizing and mining documents. Information in documents is often conveyed using both text and images that complement each other. Typically, only the text content forms the basis for features that are used in document classification. In this paper, we explore the use of information from figure images to assist in this task. We explore image clustering as a basis for constructing visual words for representing documents. Once such visual words are formed, the standard bagof-words representation along with commonly used classifiers, such as the na

• Type: Conference
• Year: 2006
• Where: CASCON
• Authors: Nawei Chen, Hagit Shatkay, Dorothea Blostein
• Keywords: Automatic Document Classification, CASCON 2006, CASCON 2007, Document Classification, Visual Words