Categorizing and Annotating Medical Images by Retrieving Terms Relevant to Visual Features.
Desislava Petkova, Lisa A. Ballesteros · 2005
Images are difficult to classify and annotate but the availability of digital image databases creates a constant demand for tools that automatically analyze image content and describe it with either a category or a set of words. We develop two clusterbased cross-media relevance models that effectively categorize and annotate images by adapting a cross-lingual retrieval technique to choose the terms most likely associated with the visual features of an image. We also identify several important distinctions between assigning categories and assigning words.