Computer Science: Recent submissions
Now showing items 301-320 of 2149
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Understanding the Predictability of Gesture Parameters from Speech and their Perceptual Importance
(2020)Gesture behavior is a natural part of human conversation. Much work has focused on removing the need for tedious hand-animation to create embodied conversational agents by designing speech-driven gesture generators. However, ... -
Investigating perceptually based models to predict importance of facial blendshapes
(2020)Blendshape facial rigs are used extensively in the industry for facial animation of virtual humans. However, storing and manipulating large numbers of facial meshes is costly in terms of memory and computation for gaming ... -
How professional learning communities create and sustain teacher change in practice - A grounded theory study of conditions and context
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2020)This United States-based study uses a grounded theory approach to develop a theoretical understanding of change in teacher practice. This change in practice is mediated through a specific type of community of practice ... -
Model Augmented Reality Curriculum
(2020)Augmented Reality (AR) is a rapidly growing field in information and communication technologies, drawing increasing numbers of professionals. Higher education institutions, however, are struggling to keep abreast of its ... -
A Pilot Study on Video Color Transfer: A survey of user-type opinions
(2020)Multimedia software products can be used to create and edit various aspects of online media. Recently, the affordances of mobile devices and high-speed mobile data networks mean that these editing capabilities are ... -
A Study of Efficient Light Field Subsampling and Reconstruction Strategies
(2020)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 ... -
Sub-Pixel Back-Projection Network For Lightweight Single Image Super-Resolution
(2020)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 ... -
CatNet: Class Incremental 3D ConvNets for Lifelong Egocentric Gesture Recognition
(2020)Egocentric gestures are the most natural form of communication for humans to interact with wearable devices such as VR/AR helmets and glasses. A major issue in such scenarios for real-world applications is that may easily ... -
Textured Mesh vs Coloured Point Cloud: A Subjective Study for Volumetric Video Compression
(2020)Volumetric video (VV) pipelines reached a high level of maturity, creating interest to use such content in interactive visualisation scenarios. VV allows real world content to be captured and represented as 3D models, which ... -
A Study on Visual Perception of Light Field Content
(2020)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 ... -
High Resolution Light Field Recovery with Fourier Disparity Layer Completion, Demosaicing, and Super-Resolution
(2020)In this paper, we present a novel approach for recovering high resolution light fields from input data with many types of degradation and challenges typically found in lenslet based plenoptic cameras. Those include the low ... -
Visual Attention-Aware Quality Estimation Framework for Omnidirectional Video using Spherical Voronoi Diagram
(2020)Omnidirectional video (ODV) enables viewers to look at every direction from a fixed point and provides a much more immersive experience than traditional 2D video. Assessing the video quality is important for delivering ODV ... -
A Self-regulating Spatio-Temporal Filter for Volumetric Video Point Clouds
(Springer International Publishing, 2020,, 2020)The following work presents a self-regulating filter that is capable of performing accurate upsampling of dynamic point cloud data sequences captured using wide-baseline multi-view camera setups. This is achieved by using ... -
Delivery of omnidirectional video using saliency prediction and optimal bitrate allocation
(2020)In this work, we propose and investigate a user-centric framework for the delivery of omnidirectional video (ODV) on VR systems by taking advantage of visual attention (saliency) models for bitrate allocation module. For ... -
Analysing patterns of right brain-hemisphere activity prior to speech articulation for identification of system-directed speech
(2019)Autonomous speech-enabled applications such as speech-to-speech machine translation, conversational agents, and spoken dialogue systems need to be able to distinguish system-directed user input from “off-talk” to function ... -
Network interventions for managing the COVID-19 pandemic and sustaining economy
(2020)Sustaining economic activities while curbing the number of new coronavirus disease 2019 (COVID-19) cases until effective vaccines or treatments become available is a major public health and policy challenge. In this paper, ... -
Cache optimization models and algorithms
(2020)Caching refers to the act of replicating information at a faster (or closer) medium with the purpose of improving performance. This deceptively simple idea has given rise to some of the hardest optimization problems in the ... -
On the Efficiency of Sharing Economy Networks
(2020)Exchange of resources (or, services) over sharing economy networks is attracting increasing interest. Despite their broad applicability, many fundamental questions about their properties remain unanswered. We consider a ... -
Immersive Imaging Technologies: From Capture to Display
(2020)New immersive imaging technologies enable creating multimedia systems that would increase the viewer presence and provide an immersive experience. This half-day tutorial aims to give an overview of these new immersive ... -
Recognising the fine-grained actions of a goal-directed activity from multi-modal images
(Trinity College Dublin. School of Computer Science & Statistics. Discipline of Computer Science, 2021)The ability to understand and respond to human activities can form the basis of many pervasive computing applications. Recognising the constituent actions of an activity can lead to a more detailed understanding of the ...
