Evaluating the application of semantic inferencing rules to image annotation

Semantic annotation of digital objects within large multimedia collections is a difficult and challenging task. We describe a method for semi-automatic annotation of images and apply it to and evaluate it on images of pancreatic cells. By comparing the performance of this approach in the pancreatic cell domain with previous results in the fuel cell domain, we aim to determine characteristics of a domain which indicate that the method will or will not work in that domain. We conclude by describing the types of images and domains in which we can expect satisfactory results with this approach. Categories and Subject Descriptors H [Information Systems] General Terms Human Factors Keywords Image Annotation, Inferencing Rules, Evaluation

• Type: Conference
• Year: 2005
• Where: KCAP
• Authors: Laura Hollink, Suzanne Little, Jane Hunter
• Keywords: Cell Domain, KCAP 2005, Pancreatic Cell, Pancreatic Cell Domain