Publications
This is a collection of publications and talks about my work in information retrieval, computer vision, theoretical biology and mathematics.

Journal Articles / Book Chapters

Markov random fields with asymmetric interactions for modelling spatial context in structured scenes
Journal of Signal Processing Systems (Springer) (2009)
D Heesch and M Petrou
A survey of browsing models for content based image retrieval
Multimedia Tools and Applications 40, 261-284 (Springer) (2008)
D Heesch
Decision-making in variable environments - a case of group selection and inter-generational conflict?
Journal of Theoretical Population Biology 69 (2), 121-128 (Elsevier Science) (2006)
D Heesch and M Little
Chaotic root finding for a small class of polynomials
Journal of Difference Equations and Applications 10 (11), 949-953 (Taylor and Francis) (2004)
M Little and D Heesch
Interaction models and relevance feedback in content-based image retrieval
Semantic-Based Visual Information Retrieval (ed. Y-J Zhang), 160-186 (Idea-Group) (2006)
D Heesch and S Rueger

Conference Proceedings

CRF Based Region Classification Using Spatial Prototypes
Proceedings International Conference Digital Image Computing: Techniques and Applications (2010)
M Jahangiri and D Heesch and M Petrou
Multi-resolution and multi-bit representation for image similarity search
IEEE International Symposium Multimedia, San Diego (2009)
T C Aysal and D Heesch
Modified GrabCut for unsupervised object segmentation
IEEE International Conference Image Processing (2009)
M Jahangiri and D Heesch
Context first
Proceedings International Workshop on Structural and Syntactic Pattern Recognition (2008)
D Heesch and R Tan and M Petrou
Two step relevance feedback for interactive sense disambiguation in image retrieval
Proceedings International Conference Visual Information Systems (2008)
D Heesch and S Rueger
An online system for gathering image similarity judgements
Proceedings ACM International Conference Multimedia (2007)
A Yavlinsky and D Heesch
Non-Gibbsian Markov random field models for contextual labelling of structured scenes
Proceedings British Machine Vision Conference (2007)
D Heesch and M Petrou
Learning Markovian dependencies from annotated images
IEEE International Symposium Machine Learning in Signal Processing (2007)
D Heesch and M Petrou
A large-scale system for searching and browsing images from the World Wide Web
Proceedings International Conference Image and Video Retrieval (LNCS 3789, Springer), 530-534 (2006)
A Yavlinsky and D Heesch and S Rueger
NNk Networks and automated annotation for browsing large image collections from the World Wide Web
Proceedings ACM International Conference Multimedia, 220-224 (2006)
D Heesch and A Yavlinsky and S Rueger
Navigating Digital Library Collections
Proceedings International Conference Image and Video Retrieval, LNCS 3789, Springer, 565-569 (2006)
P Browne and S Rueger and L-Q Xu and D Heesch
Medical Image Retrieval using texture, locality and colour
Proceedings Cross Language Evaluation Forum, 740-749 (2005)
P Howarth and A Yavlinsky and D Heesch and S Rueger
Image Browsing: A semantic analysis of NNk networks.
Proceedings International Conference Image and Video Retrieval, 609-618 (2005)
D Heesch and S Rueger
Do attractive things work better? An exploration of search tool visualisations
Proceedings International Conference HCI, 46-51 (2005)
B Chawda and B Craft and P Cairns and D Heesch and S Rueger
A comparative study of evidence combination strategies
Proceedings IEEE International Conference Acoustics, Speech, and Signal Processing, 1040-1043 (2004)
A Yavlinsky and M Pickering and D Heesch and S Rueger
Cross-Lingual Searching and Visualisation for Greek and Latin and Old Norse Texts
Proceedings International Conference Digital Libraries (2004)
J Rydberg-Cox and L Vetter and S Rueger and D Heesch
Approaching the problem of multi-lingual information retrieval and visualisation in Greek and Latin and Old Norse Texts
Proceedings European Conference Digital Libraries, 168-178 (2004)
J Rydberg-Cox and L Vetter and S Rueger and D Heesch
Video Retrieval within a Browsing Framework using Keyframes
Proceedings TREC Video, NIST, Gaithersburg, MD (2004)
D Heesch and M Pickering and A Yavlinsky and S Rueger
Three interfaces for content-based access to image collections
Proceedings International Conference Image and Video Retrieval, Dublin, Irland (2004)
D Heesch and S Rueger
NNk networks for content-based image retrieval
Proceedings European Conference Information Retrieval, Sunderland (2004)
D Heesch and S Rueger
Video Retrieval using Global Features in Keyframes
Proceedings TREC 2002, 318-324 (2003)
M Pickering and D Heesch and R O'Callaghan and S Rueger and D Bull
Performance comparison between different similarity models for CBIR with relevance feedback
Proceedings International Conference Image and Video Retrieval, Urbana-Champaign, Illinois (2003)
D Heesch and A Yavlinsky and S Rueger
Performance boosting with three mouse clicks - Relevance feedback for CBIR
Proceedings European Conference Information Retrieval, Pisa, Italy (2003)
D Heesch and S Rueger
Info Navigator: A visualization tool for document searching and browsing
Proceedings International Conference Distributed Multimedia Systems, 23-28 (2003)
M Carey and D Heesch and S Rueger
Combining Features for content-based sketch retrieval - a comparative evaluation of retrieval performance
Proceedings European Colloquium Information Retrieval Research, 41-52 (2002)
D Heesch and S Rueger
Sustained query exposure in the context of language vocabulary learning
Proceedings Conference E-Learning in Corporate, Government, Healthcare, and Higher Education (2002)
D Heesch

Invited Talks

Machine Learning and Computer Vision in Fashion Search
Vision Understanding and Machine Intelligence Summer School (VISUM), University of Porto, Portugal
9 July 2015
Image Search for the World Wide Web
Talk at IET London, Novotel Hotel, Hammer
20 Jan 2009
NNk Networks for Image Browsing and Clustering
Oxford Robotics Research Group Seminars, Department of Engineering, Oxford University
27 Feb 2006
Context-facilitated object recognition in structured scenes
Symposium of the British Machine Vision Association
15 Nov 2006
A novel graph structure for content-based image retrieval
Information Retrieval Group, Computer Science Department, University of Glasgow
2 Feb 2004