All Outputs (55)

Feature Neighbourhood Mutual Information for multi-modal image registration: An application to eye fundus imaging (2014)
Journal Article
Legg, P. A., Rosin, P. L., Marshall, D., & Morgan, J. E. (2015). Feature Neighbourhood Mutual Information for multi-modal image registration: An application to eye fundus imaging. Pattern Recognition, 48(6), 1937-1946. https://doi.org/10.1016/j.patcog.2014.12.014

© 2014 Elsevier Ltd. All rights reserved. Multi-modal image registration is becoming an increasingly powerful tool for medical diagnosis and treatment. The combination of different image modalities facilitates much greater understanding of the underl... Read More about Feature Neighbourhood Mutual Information for multi-modal image registration: An application to eye fundus imaging.

Visual analytics of e-mail sociolinguistics for user behavioural analysis (2014)
Journal Article
Legg, P., Buckley, O., Goldsmith, M., & Creese, S. (2014). Visual analytics of e-mail sociolinguistics for user behavioural analysis. Journal of Internet Services and Information Security, 4(4), 1-13

The cyber-security threat that most organisations face is not one that only resides outside their perimeter attempting to get in, but emanates from the inside too. Insider threats encompass anyone or thing which exploits authorised access to company... Read More about Visual analytics of e-mail sociolinguistics for user behavioural analysis.

Understanding insider threat: A framework for characterising attacks (2014)
Presentation / Conference
Nurse, J., Buckley, O., Legg, P., Goldsmith, M., Creese, S., Wright, G., & Whitty, M. (2014, May). Understanding insider threat: A framework for characterising attacks. Paper presented at Workshop on Research for Insider Threat (Security and Privacy Workshops at IEEE Symposium on Security and Privacy)

The threat that insiders pose to businesses, institu- tions and governmental organisations continues to be of serious concern. Recent industry surveys and academic literature provide unequivocal evidence to support the significance of this threat and... Read More about Understanding insider threat: A framework for characterising attacks.

Towards a conceptual model and reasoning structure for insider threat detection (2013)
Journal Article
Legg, P., Moffat, N., Nurse, J., Happa, J., Agrafiotis, I., Goldsmith, M., & Creese, S. (2013). Towards a conceptual model and reasoning structure for insider threat detection

The insider threat faced by corporations and governments today is a real and significant problem, and one that has become increasingly difficult to combat as the years have progressed. From a technology standpoint, traditional protective measures suc... Read More about Towards a conceptual model and reasoning structure for insider threat detection.

Transformation of an uncertain video search pipeline to a sketch-based visual analytics loop (2013)
Journal Article
Griffiths, I. W., Jones, M. W., Parry, M. L., Legg, P. A., Chung, D. H., Legg, P., …Chen, M. (2013). Transformation of an uncertain video search pipeline to a sketch-based visual analytics loop. IEEE Transactions on Visualization and Computer Graphics, 19(12), 2109-2118. https://doi.org/10.1109/TVCG.2013.207

Traditional sketch-based image or video search systems rely on machine learning concepts as their core technology. However, in many applications, machine learning alone is impractical since videos may not be semantically annotated sufficiently, there... Read More about Transformation of an uncertain video search pipeline to a sketch-based visual analytics loop.

Improving accuracy and efficiency of mutual information for multi-modal retinal image registration using adaptive probability density estimation (2013)
Journal Article
Morgan, J. E., Marshall, D., Rosin, P. L., Legg, P. A., Legg, P., & Rosin, P. (2013). Improving accuracy and efficiency of mutual information for multi-modal retinal image registration using adaptive probability density estimation. Computerized Medical Imaging and Graphics, 37(7-8), 597-606. https://doi.org/10.1016/j.compmedimag.2013.08.004

Mutual information (MI) is a popular similarity measure for performing image registration between different modalities. MI makes a statistical comparison between two images by computing the entropy from the probability distribution of the data. There... Read More about Improving accuracy and efficiency of mutual information for multi-modal retinal image registration using adaptive probability density estimation.

Glyph sorting: Interactive visualization for multi-dimensional data (2013)
Journal Article
Laramee, R. S., Griffiths, I. W., Parry, M. L., Legg, P. A., Chung, D. H., Chung, D., …Chen, M. (2013). Glyph sorting: Interactive visualization for multi-dimensional data. Information Visualization, 14(1), 76-90. https://doi.org/10.1177/1473871613511959

Copyright © 2013 The Author(s). Glyph-based visualization is an effective tool for depicting multivariate information. Since sorting is one of the most common analytical tasks performed on individual attributes of a multi-dimensional dataset, this mo... Read More about Glyph sorting: Interactive visualization for multi-dimensional data.

MatchPad: Interactive glyph-based visualization for real-time sports performance analysis (2012)
Journal Article
Legg, P. A., Chung, D. H., Parry, M. L., Jones, M. W., Long, R., Griffiths, I. W., & Chen, M. (2012). MatchPad: Interactive glyph-based visualization for real-time sports performance analysis. Computer Graphics Forum, 31(3 PART 4), 1255-1264. https://doi.org/10.1111/j.1467-8659.2012.03118.x

Today real-time sports performance analysis is a crucial aspect of matches in many major sports. For example, in soccer and rugby, team analysts may annotate videos during the matches by tagging specific actions and events, which typically result in... Read More about MatchPad: Interactive glyph-based visualization for real-time sports performance analysis.

Hierarchical event selection for video storyboards with a case study on snooker video visualization (2011)
Journal Article
Griffiths, I. W., Chung, D. H., Parry, M. L., Legg, P., & Chen, M. (2011). Hierarchical event selection for video storyboards with a case study on snooker video visualization. IEEE Transactions on Visualization and Computer Graphics, 17(12), 1747-1756. https://doi.org/10.1109/TVCG.2011.208

Video storyboard, which is a form of video visualization, summarizes the major events in a video using illustrative visualization. There are three main technical challenges in creating a video storyboard, (a) event classification, (b) event selection... Read More about Hierarchical event selection for video storyboards with a case study on snooker video visualization.

A robust solution to multi-modal image registration by combining mutual information with multi-scale derivatives (2009)
Journal Article
Morgan, J. E., Rosin, P. L., Legg, P., & Marshall, D. (2009). A robust solution to multi-modal image registration by combining mutual information with multi-scale derivatives. Lecture Notes in Artificial Intelligence, 5761 LNCS(PART 1), 616-623. https://doi.org/10.1007/978-3-642-04268-3_76

In this paper we present a novel method for performing image registration of different modalities. Mutual Information (MI) is an established method for performing such registration. However, it is recognised that standard MI is not without some probl... Read More about A robust solution to multi-modal image registration by combining mutual information with multi-scale derivatives.

Visualising state space representations of LSTM networks
Presentation / Conference
Smith, E. M., Smith, J., Legg, P., & Francis, S. Visualising state space representations of LSTM networks. Presented at Workshop on Visualization for AI Explainability, Berlin, Germany

Long Short-Term Memory (LSTM) networks have proven to be one of the most effective models for making predictions on sequence-based tasks. These models work by capturing, remembering, and forgetting information relevant to their future predictions. Th... Read More about Visualising state space representations of LSTM networks.

Human-machine decision support systems for insider threat detection
Book Chapter
Legg, P. Human-machine decision support systems for insider threat detection. In Y. Huang, I. Palomares, & H. Kalutarage (Eds.), Data Analytics and Decision Support for Cybersecurity: Trends, Methodologies and Applications. Springer

Insider threats are recognised to be quite possibly the most damaging attacks that an organisation could experience. Those on the inside, who have privileged access and knowledge, are already in a position of great responsibility for contributing tow... Read More about Human-machine decision support systems for insider threat detection.

Non-rigid elastic registration of retinal images using local window mutual information
Presentation / Conference
Legg, P., Rosin, P., Marshall, D., & Morgan, J. Non-rigid elastic registration of retinal images using local window mutual information

In this paper we consider the problem of non-rigid retinal image registration between colour fundus photographs and Scanning Laser Ophthalmoscope (SLO) images. Registration would allow for cross-comparison between modalities, giving both appearence a... Read More about Non-rigid elastic registration of retinal images using local window mutual information.

Incorporating neighbourhood feature derivatives with Mutual Information to improve accuracy of multi-modal image registration
Presentation / Conference
Legg, P., Rosin, P., Marshall, D., & Morgan, J. Incorporating neighbourhood feature derivatives with Mutual Information to improve accuracy of multi-modal image registration

In this paper we present an improved method for performing image registration of different modalities. Russakoff [1] proposed the method of Regional Mutual Information (RMI) which allows neighbourhood information to be considered in the Mutual Inform... Read More about Incorporating neighbourhood feature derivatives with Mutual Information to improve accuracy of multi-modal image registration.

Improving accuracy and efficiency of registration by mutual information using Sturges’ Histogram Rule
Presentation / Conference
Legg, P., Rosin, P., Marshall, D., & Morgan, J. Improving accuracy and efficiency of registration by mutual information using Sturges’ Histogram Rule

Mutual Information is a common technique for image registration in the medical domain, in particular where images of different modalities are to be registered. In this paper, we wish to demonstrate the benefits of applying a common method known in st... Read More about Improving accuracy and efficiency of registration by mutual information using Sturges’ Histogram Rule.