Computer Science (Scholarly Publications): Recent submissions
Now showing items 201-220 of 1420
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Evalu-light: A practical approach for evaluating character lighting in real-time
(2020)The demand for cartoon animation content is on the rise, driven largely by social media, video conferencing and virtual reality. New content creation tools and the availability of open-source game engines allow characters ... -
Methodology for Building Synthetic Datasets with Virtual Humans
(2020)Recent advances in deep learning methods have increased the performance of face detection and recognition systems. The accuracy of these models relies on the range of variation provided in the training data. Creating a ... -
The effect of multimodal emotional expression and agent appearance on trust in human-agent interaction
(2019)Emotional expressivity can boost trust in human-human and human-machine interaction. As a multimodal phenomenon, previous research argued that a mismatch in the expressive channels provides evidence of joint audio-video ... -
The effect of gender and attractiveness of motion on proximity in virtual reality
(2020)In human interaction, people will keep different distances from each other depending on their gender. For example, males will stand further away from males and closer to females. Previous studies in virtual reality (VR), ... -
Interlinking Heterogeneous Data for Smart Energy Systems
(Arxiv.org; Cornell University, 2019)Smart energy systems in general, and solar energy analysis in particular, have recently gained increasing interest. This is mainly due to stronger focus on smart energy saving solutions and recent developments in photovoltaic ... -
A Rights-Based Approach to Trustworthy AI in Social Media
(2020)Social media platforms increasingly use powerful artificial intelligence (AI) that are fed by the vast flows of digital content that may be used to analyze user behavior, mental state, and physical context. New forms of ... -
Global Challenges in the Standardization of Ethics for Trustworthy AI
(2020)In this paper, we examine the challenges of developing international standards for Trustworthy AI that aim both to be global applicable and to address the ethical questions key to building trust at a commercial and societal ... -
Copyright and the re-use of translation as data
(2019)Translation copyright was first codified as a derivative work in the Berne Convention of 1886, subject to the rights of the creator of the original work. While most countries are now contracting parties to the Berne ... -
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 ... -
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 ...
