Tech Report

The Use of Ontologies for Improving Image Retrieval and Annotation

Nowadays, digital photography is a common technology for capturing and archiving images due to the falling price of storage devices and the wide availability of digital cameras. Without efficient retrieval methods the search of images in large collections is becoming a painstaking work. Most of the traditional image search engines rely on keyword-based annotations because they lack the ability to examine image content. However, “a picture is worth a thousand words”, this means that up to a thousand words can be needed to describe the content depicted in a picture. This research

proposes the use of highly structured annotations called ontologies to improve efficiency in image retrieval as well as to overcome the semantic gap that remains between user expectations and system retrieval capabilities.

This work focuses on automated image annotation which is the process of creating a model that assigns visual terms to images because manual annotation is a time consuming and inefficient task. Up to now, most of the automated image annotation systems are based on a combination of image analysis and statistical machine learning techniques. The main objective of this research is to evaluate whether the underlying information contained in an ontology created from the vocabulary of terms used for the annotation could be effectively used together with the extracted visual information in

order to produce more accurate annotations.

ID: kmi-08-08

Date: 2008

Author(s): Ainhoa Llorente Coto

Download PDF

View By

Other Publications

Latest Seminar
Mr Antonello Meloni
Department of Mathematics and Computer Science, University of Cagliari, IT

Large Language Models for Scientific Question Answering: an Extensive Analysis of the SciQA Benchmark

Watch the live webcast


Research Assistant / Associate

Knowledge Media Institute (KMi)
£32,348 to £38,474
Based in Milton Keynes
Full time temporary contract until January 2026

The Knowledge Media Institute (KMi) is a distinct research unit within the Faculty of Science, Technology, Engineering and Mathematics (STEM) at the Open University, Milton Keynes campus. The role of Research Assistant or Research Associate (depending on experience) is externally funded by UKRI under the UK Government's Horizon Europe Guarantee Scheme in the context of the ORBIS Project on "Augmenting participation, co-creation, trust and transparency in Deliberative Democracy at all scale"....


Knowledge Media Institute
The Open University
Walton Hall
Milton Keynes
United Kingdom

Tel: +44 (0)1908 653800

Fax: +44 (0)1908 653169

Email: KMi Support


If you have any comments, suggestions or general feedback regarding our website, please email us at the address below.

Email: KMi Development Team