@inproceedings{ec3c93514b4940bfbd927b01f28824cd,
title = "Task-based image annotation and retrieval",
abstract = "In order to address problems of information overload in digital imagery task domains we have developed an interactive approach to the capture and reuse of image context information. Our framework models different aspects of the relationship between images and domain tasks they support by monitoring the interactive manipulation and annotation of task-relevant imagery. The approach allows us to gauge a measure of a user's intentions as they complete goal-directed image tasks. As users analyze retrieved imagery their interactions are captured and an expert task context is dynamically constructed. This human expertise, proficiency, and knowledge can then be leveraged to support other users in carrying out similar domain tasks. We have applied our techniques to two multimedia retrieval applications for two different image domains, namely the geo-spatial and medical imagery domains.",
author = "Dympna O'Sullivan and David Wilson and Michela Bertolotto and Eoin McLoughlin",
year = "2007",
doi = "10.1007/978-3-540-72530-5_54",
language = "English",
isbn = "978-3-540-72529-9",
series = "Lecture notes in computer science ",
publisher = "Springer",
pages = "451--458",
editor = "Aijun An and Jerzy Stefanowski and Sheela Ramanna and Butz, {Cory J.} and Witold Pedrycz and Guoyin Wang",
booktitle = "Rough sets, fuzzy sets, data mining and granular computing",
address = "Germany",
note = "11th International Conference, RSFDGrC 2007 ; Conference date: 14-05-2007 Through 16-05-2007",
}