Reference Hub1
Collaborative Work and Learning with Large Amount of Graphical Content in a 3D Virtual World Using Texture Generation Model Built on Stream Processors

Collaborative Work and Learning with Large Amount of Graphical Content in a 3D Virtual World Using Texture Generation Model Built on Stream Processors

Andrey Smorkalov, Mikhail Fominykh, Mikhail Morozov
Copyright: © 2014 |Volume: 5 |Issue: 2 |Pages: 23
ISSN: 1947-8534|EISSN: 1947-8542|EISBN13: 9781466655621|DOI: 10.4018/ijmdem.2014040102
Cite Article Cite Article

MLA

Smorkalov, Andrey, et al. "Collaborative Work and Learning with Large Amount of Graphical Content in a 3D Virtual World Using Texture Generation Model Built on Stream Processors." IJMDEM vol.5, no.2 2014: pp.18-40. http://doi.org/10.4018/ijmdem.2014040102

APA

Smorkalov, A., Fominykh, M., & Morozov, M. (2014). Collaborative Work and Learning with Large Amount of Graphical Content in a 3D Virtual World Using Texture Generation Model Built on Stream Processors. International Journal of Multimedia Data Engineering and Management (IJMDEM), 5(2), 18-40. http://doi.org/10.4018/ijmdem.2014040102

Chicago

Smorkalov, Andrey, Mikhail Fominykh, and Mikhail Morozov. "Collaborative Work and Learning with Large Amount of Graphical Content in a 3D Virtual World Using Texture Generation Model Built on Stream Processors," International Journal of Multimedia Data Engineering and Management (IJMDEM) 5, no.2: 18-40. http://doi.org/10.4018/ijmdem.2014040102

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

In this paper, the authors address the challenges of applying three-dimensional virtual worlds for collaborative work and learning, such as steep learning curve and the demands for computational and network resources. We developed a texture generation model utilizing stream processors that allows displaying large amount of meaningful content in virtual worlds, reducing the technical requirements and allowing convenient tools that simplify the use of the technology, and therefore, improve the negative learning curve effect. The authors present original methods of generating images and several tools implemented in vAcademia virtual world. A tool called Sticky Notes is presented in detail as an example. In addition, the authors provide the evaluation of the suggested model and the first result of the user evaluation.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.