Prof. Noel E. O'Connor Profile

Prof. Noel E. O'Connor

Lecturer at Dublin City Univ

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Publications (12)

Proceedings Article | 1 August 2021 Presentation + Paper

A differentiable VMAF proxy as a loss function for video noise reduction

Darren Ramsook, Anil Kokaram, Noel O'Connor, Neil Birkbeck, Yeping Su, Balu Adsumilli

Proceedings Volume 11842, 118420X (2021) https://doi.org/10.1117/12.2594164

KEYWORDS: Video, Denoising, Network architectures, Composites, Image quality, Neural networks, Motion models, Video compression, Image restoration, RGB color model

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Proceedings Article | 19 October 2012 Paper

Investigation Into the Use of Satellite Remote Sensing Data Products as Part of a Multi-Modal Marine Environmental Monitoring Network

Edel O'Connor, Alan Smeaton, Noel O'Connor, Fiona Regan

Proceedings Volume 8532, 85320F (2012) https://doi.org/10.1117/12.974632

KEYWORDS: Sensors, Satellites, Head, Remote sensing, Sensor networks, Oceanography, Ocean optics, Environmental monitoring, Water, Radiometry

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Proceedings Article | 25 October 2010 Paper

Image processing for smarter browsing of ocean color data products: investigating algal blooms

Jer Hayes, Edel O'Connor, King-Tong Lau, Noel O'Connor, Alan Smeaton, Dermot Diamond

Proceedings Volume 7831, 78310P (2010) https://doi.org/10.1117/12.864949

KEYWORDS: Image processing, Image analysis, Satellites, Clouds, Sensors, Environmental sensing, Water, Ecosystems, Visualization, Ocean optics

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Proceedings Article | 26 April 2010 Paper

Evaluation of a vehicle tracking system for multi-modal UAV-captured video data

D. Sadlier, N. O'Connor

Proceedings Volume 7668, 76680X (2010) https://doi.org/10.1117/12.849669

KEYWORDS: Video, Cameras, Image processing, Infrared radiation, Unmanned aerial vehicles, Video surveillance, Motion models, Modeling, Statistical analysis, Visible radiation

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This paper details and evaluates a system that aims to provide continuous robust localisation ('tracking') of vehicles throughout the scenes of aerial video footage captured by Unmanned Aerial Vehicles (UAVs). The scientific field of UAV object tracking is well studied in the field of computer vision, with a variety of solutions offered. However, rigorous evaluation is infrequent, and further novelty lies here in our exploration of the benefits of combined modality processing, in conjunction with a proposed adaptive feature weighting technique. Building on our previously reported framework for object-tracking in multi-spectral video¹, moving vehicles are initially located by exploiting their intrascene displacement within a camera-motion compensated video-image domain. For each detected vehicle, a spatiogram²-based representation is then extracted, which is a representative form that aims to bridge the gap between the 'coarseness' of histograms and the 'rigidity' of pixel templates. Spatiogram-based region matching then ensues for each vehicle, towards determining their new locations throughout the subsequent frames of the video sequence. The framework is flexible in that, in addition to the exploitation of traditional visible spectrum features, it can accommodate the inclusion of additional feature sources, demonstrated here via the attachment of an infrared channel. Furthermore, the system provides the option of enabling an adaptive feature weighting mechanism, whereby the transient ability of certain features to occasionally outperform others is exploited in an adaptive manner, to the envisaged benefit of increased tracking robustness. The system was developed and tested using the DARPA VIVID2 video dataset³, which is a suite of multi-spectral (visible and thermal infrared) video files captured from an airborne platform flying at various altitudes. Evaluation of the system is quantitative, which differentiates it from a large portion of the existing literature, whilst the results observed serve to further reveal the challenging nature of this problem.

Proceedings Article | 7 October 2009 Paper

Environmental monitoring of Galway Bay: fusing data from remote and in-situ sources

Edel O'Connor, Jer Hayes, Alan Smeaton, Noel O'Connor, Dermot Diamond

Proceedings Volume 7478, 74780X (2009) https://doi.org/10.1117/12.829989

KEYWORDS: Sensors, Sensor networks, Environmental monitoring, Satellites, Environmental sensing, Water, Oceanography, Ocean optics, Spatial resolution, Data modeling

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Proceedings Article | 14 April 2008 Paper

A content-based retrieval system for UAV-like video and associated metadata

N. O'Connor, T. Duffy, P. Ferguson, C. Gurrin, H. Lee, D. Sadlier, A. Smeaton, K. Zhang

Proceedings Volume 6946, 69460I (2008) https://doi.org/10.1117/12.777527

KEYWORDS: Video, Global Positioning System, Visualization, Human-machine interfaces, Unmanned aerial vehicles, Video surveillance, Databases, Navigation systems, Web 2.0 technologies, Video processing

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Proceedings Article | 17 March 2008 Paper

Vehicle tracking in UAV video using multi-spectral spatiogram models

N. O'Connor, P. Kehoe, C. O'Conaire, A. Smeaton

Proceedings Volume 6974, 69740B (2008) https://doi.org/10.1117/12.777543

KEYWORDS: Video, Unmanned aerial vehicles, Visible radiation, Cameras, RGB color model, Infrared imaging, Feature extraction, Thermography, Infrared radiation, Video processing

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Proceedings Article | 29 January 2007 Paper

Organising a daily visual diary using multifeature clustering

Ciarán Ó Conaire, Noel O'Connor, Alan Smeaton, Gareth Jones

Proceedings Volume 6506, 65060C (2007) https://doi.org/10.1117/12.704209

KEYWORDS: Surface plasmons, Sensors, Cameras, Image processing algorithms and systems, Image classification, Image segmentation, Image fusion, Feature extraction, Visualization, Image retrieval

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Proceedings Article | 25 October 2005 Paper

Using video objects and relevance feedback in video retrieval

Sorin Sav, Hyowon Lee, Alan Smeaton, Noel O'Connor, Noel Murphy

Proceedings Volume 6015, 601512 (2005) https://doi.org/10.1117/12.629654

KEYWORDS: Video, Image segmentation, Video processing, Visualization, Feature extraction, Databases, Classification systems, Semantic video, Data modeling, Mahalanobis distance

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Proceedings Article | 24 June 2005 Paper

An optimal adder-based hardware architecture for the DCT/SA-DCT

Andrew Kinane, Valentin Muresan, Noel O'Connor

Proceedings Volume 5960, 596045 (2005) https://doi.org/10.1117/12.633190

KEYWORDS: Logic, Multiplexers, Switching, Clocks, Very large scale integration, Video, Video processing, Multiplexing, Multimedia, Algorithm development

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Proceedings Article | 20 July 2001 Paper

Hierarchical semiautomatic video object segmentation for multimedia applications

Saman Cooray, Noel O'Connor, Sean Marlow, Noel Murphy, Thomas Curran

Proceedings Volume 4519, (2001) https://doi.org/10.1117/12.434266

KEYWORDS: Image segmentation, Video, Multimedia, Detection and tracking algorithms, Semantic video, Automatic tracking, Image processing algorithms and systems, Motion estimation, Distance measurement, Binary data

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Proceedings Article | 1 January 2001 Paper

Online television library: organization and content browsing for general users

Kieran Mc Donald, Alan Smeaton, Sean Marlow, Noel Murphy, Noel O'Connor

Proceedings Volume 4315, (2001) https://doi.org/10.1117/12.410941

KEYWORDS: Televisions, Video, Human-machine interfaces, Image segmentation, Video processing, Digital video recorders, Library classification systems, Visualization, Computing systems, Control systems

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Showing 5 of 12 publications

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