30 Works

Colour Correction for Stereoscopic Omnidirectional Images

Aljosa Smolic, Croci Simone, Grogan Mairead & Sebastian Knorr
Stereoscopic omnidirectional images (ODI) when viewed with a head-mounted display are a way to generate an immersive experience. Unfortunately, their creation is not an easy process, and different problems can be present in the ODI that can reduce the quality of experience. A common problem is colour mismatch, which occurs when the colours of the objects in the scene are different between the two stereoscopic views. In this paper we propose a novel method for...

IDS-TILDA Wave 1: Main Interview Questionnaire

Mary McCarron, Janet Swinburne, Eilish Burke, Eimear McGlinchey, Niamh Mulryan, Vicky Andrews, Sinead Foran & Philip McCallion

An Assessment of Case Base Reasoning for Short Text Message Classification

Matt Healy, Sarah Jane Delany & Anton Zamolotskikh

IDS-TILDA Wave 3: Pre-Interview Questionnaire

Mary McCarron, Margaret Haigh, Eilish Burke, Eimear McGlinchey, Darren McCausland, Rachael Carroll, Mary-Ann O'Donovan, Niamh Mulryan, Fintan K. Sheerin, Máire O'Dwyer, Sinead Foran, Caoimhin Mac Giolla Phadraig, Juliette O'Connell, Judy Ryan & Philip McCallion

Monitoring the Effects of Temporal Clipping on VoIP Speech Quality

Andrew Hines, Naomi Harte, Jan Skoglund & Anil Kokaram

An Analysis of Maths Learning Support for Mature Students in Engineering: Engagement and Effect

Cormac Breen, Mark Prendergast & Michael Carr

Automatic Palette Extraction for Image Editing

Aljosa Smolic, Mairéad Grogan, Matis Hudon & McCormack Daniel
Interactive palette based colour editing applications have grown in popularity in recent years, but while many methods propose fast palette extraction techniques, they typically rely on the user to define the number of colours needed. In this paper, we present an approach that extracts a small set of representative colours from an image automatically, determining the optimal palette size without user interaction. Our iterative technique assigns a vote to each pixel in the image based...

Sub-Pixel Back-Projection Network For Lightweight Single Image Super-Resolution

Aljosa Smolic, Supratik Banerjee, Cagri Ozcinar, Aakanksha Rana & Michael Manzke
Convolutional neural network (CNN)-based methods have achieved great success for single-image superresolution (SISR). However, most models attempt to improve reconstruction accuracy while increasing the requirement of number of model parameters. To tackle this problem, in this paper, we study reducing the number of parameters and computational cost of CNN-based SISR methods while maintaining the accuracy of super-resolution reconstruction performance. To this end, we introduce a novel network architecture for SISR, which strikes a good trade-off...

A Study on Visual Perception of Light Field Content

Aljosa Smolic, Emin Zerman, Cagri Ozcinar & Ailbhe Gill
The effective design of visual computing systems depends heavily on the anticipation of visual attention, or saliency. While visual attention is well investigated for conventional 2D images and video, it is nevertheless a very active research area for emerging immersive media. In particular, visual attention of light fields (light rays of a scene captured by a grid of cameras or micro lenses) has only recently become a focus of research. As they may be rendered...

A Note From the Editors

Michelle Share

Childminders’ Close Relationship Model of praxis: an ecocultural study in Ireland

Miriam O'Regan, Ann Marie Halpenny & Nóirín Hayes

1641 Depositions: Sharing our history, building a legacy

Jane Ohlmeyer, Giovanna de Moura Rocha Lima, Micheál Ó Siochrú, Sarah Bowman & Eve Patten
This research impact case study highlights the multiple impacts stemming from the 1641 Depositions Project. The document summarises how this flagship transdisciplinary digital humanities endeavour has engaged with publics inside and outside academia and transformed our understanding of how the controversial events of the mid-seventeenth century are recorded and remembered.

Synthetic, Yet Natural: Properties of WordNet Random Walk Corpora and the impact of rare words on embedding performance

Filip Klubicka, Alfredo Maldonado, Abhijit Mahalunkar & John Kelleher

Women’s Homelessness: European Evidence Review

Joanne Bretherton & Paula Mayock

IDS-TILDA Wave 2: Main Interview Questionnaire

Mary McCarron, Eilish Burke, Eimear McGlinchey, Darren McCausland, Rachael Carroll, Niamh Mulryan, Eimear Cleary, Mary-Ann O'Donovan, Carolyn Shivers & Philip McCallion

Wellbeing Culture Indicators

Joan Cahill

ECUE: a spam filter that uses machine learning to track concept drift

Sarah Jane Delany, Padraig Cunningham & Barry Smyth

A Study of Efficient Light Field Subsampling and Reconstruction Strategies

Aljosa Smolic, Martin Alain & Chen Yang
Limited angular resolution is one of the main obstacles for practical applications of light fields. Although numerous approaches have been proposed to enhance angular resolution, view selection strategies have not been well explored in this area. In this paper, we study subsampling and reconstruction strategies for light fields. First, different subsampling strategies are studied with a fixed sampling ratio, such as row-wise sampling, column-wise sampling, or their combinations. Second, several strategies are explored to reconstruct...

A Geometry-Sensitive Approach for Photographic Style Classification

Aljosa Smolic, Koustav Ghosal & Mukta Prasad
Photographs are characterized by different compositional attributes like the Rule of Thirds, depth of field, vanishing-lines etc. The presence or absence of one or more of these attributes contributes to the overall artistic value of an image. In this work, we analyze the ability of deep learning based methods to learn such photographic style attributes. We observe that although a standard CNN learns the texture and appearance based features reasonably well, its understanding of global...

Willibrord as a Political Actor Between Early Medieval Ireland, Britain and Merovingian Francia (658–739)

Michel Summer
1000 Worte Forschung: PhD thesis in Medieval History, Department of History, Trinity College Dublin, ongoing

A Survey of Digital Games Used in Irish Schools: the Drill and Practice has Turned Digital

Mariana Rocha, Brendan Tangney & Pierpaolo Dondio

An Interdisciplinary Approach to Historic Diet and Foodways: the FoodCult Project

Susan Flavin

IDS-TILDA Wave 1: Pre-Interview Questionnaire

Mary McCarron, Janet Swinburne, Eilish Burke, Eimear McGlinchey, Niamh Mulryan, Vicky Andrews, Sinead Foran & Philip McCallion

Hybrid Placement Model: A Social Work Teaching and Learning Resource

Erna O'Connor, Sinead Whiting, Robbie Gilligan, Stephanie Holt, Eavan Brady, Ruth Elliffe, Michael Feely, Suzy Flynn, Stan Houston & Pam McEvoy
The Hybrid Placement model blends different contexts for practice-based learning: on-site, off-site, online and reflective practice. It has evolved in response to changed work practices in social work service delivery, necessitated by the Covid-19 pandemic. It aims to ensure quality learning opportunities, aligned with the CORU – Social Work Registration Board Domains of Proficiency, are maximised when it is not possible to attend the placement site full-time. This Practice Learning Resource has been developed by...

Policy and the Arts & Humanities in Ireland: A position paper by the Trinity Long Room Hub Arts and Humanities Research Institute

Caitriona Curtis, Eve Patten & Caoimhe Whelan

Registration Year

  • 2021

Resource Types

  • Text


  • Trinity College Dublin
  • Technological University Dublin
  • Google (United States)
  • University of York
  • University College Dublin