Research Article

Methodology of Multimedia and Visualization

by  Balwinder Kaur, Sonia Sharma, Prince Verma
journal cover
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 74 - Issue 16
Published: July 2013
Authors: Balwinder Kaur, Sonia Sharma, Prince Verma
10.5120/12972-0159
PDF

Balwinder Kaur, Sonia Sharma, Prince Verma . Methodology of Multimedia and Visualization. International Journal of Computer Applications. 74, 16 (July 2013), 36-38. DOI=10.5120/12972-0159

                        @article{ 10.5120/12972-0159,
                        author  = { Balwinder Kaur,Sonia Sharma,Prince Verma },
                        title   = { Methodology of Multimedia and Visualization },
                        journal = { International Journal of Computer Applications },
                        year    = { 2013 },
                        volume  = { 74 },
                        number  = { 16 },
                        pages   = { 36-38 },
                        doi     = { 10.5120/12972-0159 },
                        publisher = { Foundation of Computer Science (FCS), NY, USA }
                        }
                        %0 Journal Article
                        %D 2013
                        %A Balwinder Kaur
                        %A Sonia Sharma
                        %A Prince Verma
                        %T Methodology of Multimedia and Visualization%T 
                        %J International Journal of Computer Applications
                        %V 74
                        %N 16
                        %P 36-38
                        %R 10.5120/12972-0159
                        %I Foundation of Computer Science (FCS), NY, USA
Abstract

New visualization tools have been developed but geospatial data models and theories remain unchanged because they enable a user to determine a video's distinguishing content without investing long viewing times or requiring high network- transfer speeds. Recent developments in computer hardware and algorithm design have made possible content to integrate media indexing with computer visualization to achieve effective content-based access to video information. This paper starts addressing the theoretical aspect of a multimedia visualization and a consistent framework to express different types of data sources.

References
  • Govedarvo, N, Niepage, S, and Burkhard, H. D. 2010. Semantic Content Models In ARA. In ISSN:1867-366X (Journal), Vol. 3, No. 1, 28 – 39.
  • Ramírez, J. R. 2005. Advance in Multimedia Mapping. In Proceedings of the International Cartographic Conference, Coruña, Spain.
  • Himmel, D, Greaves, M, Kao, A, and Poteet, S. 1998. Visualizations for Large Collection of Multimedia Information.
  • Korakakis, G, Pavlatou, E. A, Palyvos J. A, Spyrellis, N. 2008. 3D visualization types in multimedia applications for science learning. A case study for 8th grade students in Greece, Computer & Education, 52(2), 390-401.
  • Velez, M. , Silver, D. , and Tremaine, M. 2006. Understanding visualization through spatial ability differences. In Extended Proceedings of Visualization. Baltimore, MD.
  • Sorden, S. 2005. A cognitive approach to instructional design for multimedia. In Learning Informing Science Journal, 8, 263–279.
  • Samaras, H. , Giouvanakis, N. , Bousiou, D. , & Tarabanis, K. 2006. Towards a new generation of multimedia learning research. AACE Journal, 14(1), 3–30.
  • Graham, J, Erol, B, Hull, J. J, and Lee, D. S. 2003. The Video Paper Multimedia Analysis System.
  • Cawthon N. , Vande Moere A. 2007. The Effect of Aesthetic on the Usability of Data Visualization. IV, 637-648.
  • Nagel, T, and Duval, E. 2012. Interactive Exploration of Geospatial Network Visualization. In Proceeding CHIEA'12 CHI'12 Extended Abstracts on Human Factors in Computing Systems, Pages 557-572, ACM Newyork, NYK, USA.
  • Vedran Sabol, Wolfgang Kienreich, Michael Granitzer. 2008. Visualisation Techniques for Analysis and Exploration of Multimedia Data. Studies in Computational Intelligence Volume 101, pp 219-238
Index Terms
Computer Science
Information Sciences
No index terms available.
Keywords

Multimedia linear content Semantic Content Modeling and Perceptual Content Modeling

Powered by PhDFocusTM