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Methodology of Multimedia and Visualization

by Balwinder Kaur, Sonia Sharma, Prince Verma
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 74 - Number 16
Year of Publication: 2013
Authors: Balwinder Kaur, Sonia Sharma, Prince Verma
10.5120/12972-0159

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 },
issue_date = { July 2013 },
volume = { 74 },
number = { 16 },
month = { July },
year = { 2013 },
issn = { 0975-8887 },
pages = { 36-38 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume74/number16/12972-0159/ },
doi = { 10.5120/12972-0159 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:43:03.896219+05:30
%A Balwinder Kaur
%A Sonia Sharma
%A Prince Verma
%T Methodology of Multimedia and Visualization
%J International Journal of Computer Applications
%@ 0975-8887
%V 74
%N 16
%P 36-38
%D 2013
%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
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Index Terms

Computer Science
Information Sciences

Keywords

Multimedia linear content Semantic Content Modeling and Perceptual Content Modeling

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