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Outputs (3164)

Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments (2018)
Presentation / Conference Contribution
McGough, S., Forshaw, M., Brennan, J., Al Moubayed, N., & Bonner, S. (2018, October). Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments. Presented at 9th International Green and Sustainable Computing Conference., Pittsburgh, PA, US

High Throughput Computing (HTC) provides a convenient mechanism for running thousands of tasks. Many HTC systems exploit computers which are provisioned for other purposes by utilising their idle time - volunteer computing. This has great advantages... Read More about Using Machine Learning to reduce the energy wasted in Volunteer Computing Environments.

Visual Graphs from Motion (VGfM): Scene understanding with object geometry reasoning (2018)
Presentation / Conference Contribution
Gay, P., James, S., & Del Bue, A. (2018, December). Visual Graphs from Motion (VGfM): Scene understanding with object geometry reasoning. Presented at ACCV 2018: Computer Vision – ACCV 2018, Perth, Australia

Recent approaches on visual scene understanding attempt to build a scene graph – a computational representation of objects and their pairwise relationships. Such rich semantic representation is very appealing, yet difficult to obtain from a single im... Read More about Visual Graphs from Motion (VGfM): Scene understanding with object geometry reasoning.

An Obstacle Detection Method for Visually Impaired Persons by Ground Plane Removal Using Speeded-Up Robust Features and Gray Level Co-Occurrence Matrix (2018)
Journal Article
Jindal, A., Aggarwal, N., & Gupta, S. (2018). An Obstacle Detection Method for Visually Impaired Persons by Ground Plane Removal Using Speeded-Up Robust Features and Gray Level Co-Occurrence Matrix. Pattern Recognition and Image Analysis: Advances in Mathematical Theory and Applications, 28(2), https://doi.org/10.1134/s1054661818020086

Multi-view Aggregation for Color Naming with Shadow Detection and Removal (2018)
Presentation / Conference Contribution
Dahy Elkhouly, M., James, S., & Del Bue, A. (2018, December). Multi-view Aggregation for Color Naming with Shadow Detection and Removal. Presented at 2018 IEEE International Conference on Image Processing, Applications and Systems (IPAS), Sophia Antipolis, France

This paper presents a set of methods for classifying the color attribute of objects when multiple images of the same objects are available. This problem is more complex than the single image estimation since varying environmental effects, such as, sh... Read More about Multi-view Aggregation for Color Naming with Shadow Detection and Removal.