title: Exploring the use of image text for biomedical literature retrieval.
abstract: In biomedical publications, figures and images concisely summarize a paper's experimental findings and results. Recent studies have therefore explored the use of images to assist in information retrieval (IR) in biomedicine, mostly based on mining the image caption content. We extend this approach by mining the image text, which refers to the text inside biomedical figures and images. In this work, we discuss the distinct advantages of using image text for biomedical IR and present a prototype search engine implementing the idea.
authors.affiliation: Department of Computer Science, Yale University, New Haven, CT, USA.
authors.forename: Songhua
authors.initials: S
authors.lastname: Xu
authors.forename: James
authors.initials: J
authors.lastname: McCusker
authors.forename: Michael
authors.initials: M
authors.lastname: Krauthammer
mesh_terms: D003196:Computer Graphics; D003237:Connecticut; D057225:Data Mining; D003628:Database Management Systems; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods*; D010506:Periodicals as Topic