Special Issue "Computer Graphics & Visual Computing (CGVC 2020)"

A special issue of Computers (ISSN 2073-431X).

Deadline for manuscript submissions: closed (15 January 2021).

Special Issue Editors

Dr. Panagiotis D. Ritsos
E-Mail Website1 Website2
Guest Editor
School of Computer Science and Electronic Engineering, Bangor University, Bangor LL57 1UT, UK
Interests: human-computer interaction; mixed and virtual reality; information visualization; visual analytics
Dr. Kai Xu
E-Mail Website
Guest Editor
Department of Computer Science, Middlesex University, London NW4 4BT, UK
Interests: data visualisation; visual analytics; machine learning
Special Issues, Collections and Topics in MDPI journals
Dr. Alfie Abdul-Rahman
E-Mail Website
Guest Editor
Department of Informatics, King’s College London, WC2B 4BG, UK
Interests: information visualization; human-computer interaction; user-centered design of visualization applications; visualization in digital humanities; user studies and evaluation
Dr. Rita Borgo
E-Mail Website
Guest Editor
Informatics Department, King's College London, Bush House, Strand Campus, 30, Aldwych, London WC2B 4BG, UK
Interests: information visualization; visual analytics; video visualization; time series analysis; user studies and evaluation; large scale data; high performance computing

Special Issue Information

Dear Colleagues,

Computer Graphics & Visual Computing (CGVC) 2020, hosted by Bangor University in the UK, 10–11 September 2020, is the 38th annual gathering on computer graphics, visualisation, and visual computing, organised by the Eurographics UK Chapter. For more information about the conference, please use this link: https://cgvc.org.uk/CGVC2020/.

Selected papers that are presented at the conference are invited to be submitted as extended versions to this Special Issue of the journal Computers after the conference. Submitted papers should be extended to the size of regular research or review articles, with a 50% extension of new results. All submitted papers will undergo a standard peer-review procedure. Accepted papers will be published in open access format in Computers and will be collected on this Special Issue website. There is no page limitation.

Please prepare and format your paper according to the Instructions for Authors. Use the LaTeX or Microsoft Word template file of the journal (both are available from the Instructions for Authors page). Manuscripts should be submitted online via our susy.mdpi.com editorial system.

Dr. Panagiotis D. Ritsos
Dr. Kai Xu
Dr. Alfie Abdul-Rahman
Dr. Rita Borgo
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Computers is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Published Papers (2 papers)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Article
Emotion Transfer for 3D Hand and Full Body Motion Using StarGAN
Computers 2021, 10(3), 38; https://doi.org/10.3390/computers10030038 - 22 Mar 2021
Cited by 2 | Viewed by 808
Abstract
In this paper, we propose a new data-driven framework for 3D hand and full-body motion emotion transfer. Specifically, we formulate the motion synthesis task as an image-to-image translation problem. By presenting a motion sequence as an image representation, the emotion can be transferred [...] Read more.
In this paper, we propose a new data-driven framework for 3D hand and full-body motion emotion transfer. Specifically, we formulate the motion synthesis task as an image-to-image translation problem. By presenting a motion sequence as an image representation, the emotion can be transferred by our framework using StarGAN. To evaluate our proposed method’s effectiveness, we first conducted a user study to validate the perceived emotion from the captured and synthesized hand motions. We further evaluate the synthesized hand and full body motions qualitatively and quantitatively. Experimental results show that our synthesized motions are comparable to the captured motions and those created by an existing method in terms of naturalness and visual quality. Full article
(This article belongs to the Special Issue Computer Graphics & Visual Computing (CGVC 2020))
Show Figures

Figure 1

Article
A Computer Vision Encyclopedia-Based Framework with Illustrative UAV Applications
Computers 2021, 10(3), 29; https://doi.org/10.3390/computers10030029 - 04 Mar 2021
Viewed by 708
Abstract
This paper presents the structure of an encyclopedia-based framework (EbF) in which to develop computer vision systems that incorporate the principles of agile development with focussed knowledge-enhancing information. The novelty of the EbF is that it specifies both the use of drop-in modules, [...] Read more.
This paper presents the structure of an encyclopedia-based framework (EbF) in which to develop computer vision systems that incorporate the principles of agile development with focussed knowledge-enhancing information. The novelty of the EbF is that it specifies both the use of drop-in modules, to enable the speedy implementation and modification of systems by the operator, and it incorporates knowledge of the input image-capture devices and presentation preferences. This means that the system includes automated parameter selection and operator advice and guidance. Central to this knowledge-enhanced framework is an encyclopedia that is used to store all information pertaining to the current system operation and can be used by all of the imaging modules and computational runtime components. This ensures that they can adapt to changes within the system or its environment. We demonstrate the implementation of this system over three use cases in computer vision for unmanned aerial vehicles (UAV) showing how it is easy to control and set up by novice operators utilising simple computational wrapper scripts. Full article
(This article belongs to the Special Issue Computer Graphics & Visual Computing (CGVC 2020))
Show Figures

Figure 1

Back to TopTop