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Automatic image annotation is the task of automatically assigning words to an image that describe the content of the image. Machine learning approaches have been explored to model the association between words and images from an annotated set of images and generate annotations for a test image. The paper proposes methods to use a hierarchy defined on the annotation words derived from a text ontology to improve automatic image annotation and retrieval. Specifically, the hierarchy is used in thedoi:10.1145/1076034.1076128 dblp:conf/sigir/SrikanthVBM05 fatcat:7eoobgq4ebc75hfole66r67hre