David Squire, Lecturer

PhD, Curtin University of Technology, WA, 1996

BEng (Hons), The University of Melbourne, VIC, 1991

BSc, The University of Melbourne, VIC, 1992

Expertise and research interests

Image and video databases, algorithms, data structures and image representations for content-based multimedia retrieval (CBMR), user modelling and profiling, relevance feedback, performance evaluation, communication and querying protocols for CBMR, comparison of human and machine judgments of image similarity; Web-based information retrieval and filtering; Invariant pattern recognition, invariance signatures, model-based neural networks.

Background

Dr. Squire completed his undergraduate studies at the University of Melbourne in Australia, receiving his Bachelor of Electrical and Electronic Engineering degree in 1990, and his Bachelor of Science, majoring in physics, in 1991. His doctoral degree is from the Curtin University of Technology in Perth, Australia, where he worked on model-based neural networks for invariant pattern recognition until 1995. In 1996 he joined the Vision Group in the Computing Science Centre, University of Geneva, Switzerland, where he worked on content-based image retrieval, in charge of the Viper research group. In 2000 he returned to Australia, joining Monash University. He retains interests in invariant pattern recognition and machine learning, and is continuing research on multimedia retrieval. He is the author of more than 20 published papers in these fields.

Dr. Squire has lectured subjects such as Neural Networks, Software Engineering and Data Mining at both graduate and undergraduate level. He has tutored in physics, mathematics, and computer science departments.

Selected publications

Henning Müller, Wolfgang Müller, Stéphane Marchand-Maillet, Thierry Pun and David McG. Squire, Strategies for positive and negative relevance feedback in image retrieval, In Proceedings of the 15th International Conference on Pattern Recognition, Barcelona, Spain, September 3-8 2000.

Wolfgang Müller, Henning Müller, Stéphane Marchand-Maillet, Thierry Pun, David McG. Squire, Zoran Pecenovic, Christoph Giess and Arjen P. de Vries, MRML: A Communication Protocol for Content-Based Image Retrieval, In Fourth International Conference On Visual Information Systems (VISual 2000), Lyon, France, November 2-4 2000.

Henning Müller, Wolfgang Müller, David McG. Squire, Stéphane Marchand-Maillet and Thierry Pun, Performance Evaluation in Content-Based Image Retrieval: Overview and Proposals, Pattern Recognition Letters, 2000. (to appear)

Henning Müller, Wolfgang Müller, David McG. Squire, Stéphane Marchand-Maillet and Thierry Pun, Learning Feature Weights from User Behavior in Content-Based Image Retrieval, In MDM/KDD2000 Workshop on Multimedia Data Mining in conjunction with the Sixth ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, Boston, USA, August 20 2000.

David McG. Squire and Terry M. Caelli, Invariance Signatures: Characterizing contours by their departures from invariance, Computer Vision and Image Understanding, 77, 3, pp. 284-316, March 2000.

David McG. Squire, Henning Müller, Wolfgang Müller, Stéphane Marchand-Maillet and Thierry Pun, Design and Evaluation of a Content-based Image Retrieval System, In Syed M. Rahman ed., Design and Management of Multimedia Information Systems: Opportunities and Challenges, Idea Group Publishing, 2000. (to appear)

David McG. Squire, Henning Müller and Wolfgang Müller, Improving Response Time by Search Pruning in a Content-Based Image Retrieval System, Using Inverted File Techniques, In IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'99), pp. 45-49, Fort Collins, Colorado, USA, June 22 1999.

David McG. Squire, Wolfgang Müller, Henning Müller and Jilali Raki, Content-based query of image databases, inspirations from text retrieval: inverted files, frequency-based weights and relevance feedback, In The 11th Scandinavian Conference on Image Analysis (SCIA'99), pp. 143-149, Kangerlussuaq, Greenland, June 7-11 1999.

David McG. Squire, Learning a similarity-based distance measure for image database organization from human partitionings of an image set, In Proceedings of the Fourth IEEE Workshop on Applications of Computer Vision (WACV'98), pp. 88-93, Princeton, NJ, USA, October 1998.

David McG. Squire and Thierry Pun, Assessing Agreement Between Human and Machine Clusterings of Image Databases, Pattern Recognition, 31, 12, pp. 1905-1919, 1998.

David McG. Squire and Terry M. Caelli, Shift, Rotation and Scale Invariant Signatures for Two-Dimensional Contours, in a Neural Network Architecture, In Stephen W. Ellacott, John C. Mason and Iain J. Anderson eds., Mathematics of Neural Networks: Models Algorithms and Applications, Statistics and OR, pp. 344-348, Kluwer Academic Publishers, Boston, July 1995.

Terry M. Caelli, David McG. Squire and Tom P.J. Wild, Model-Based Neural Networks, Neural Networks, 6, pp. 613-625, 1993.

 

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