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Reseach Article

Extraction of Region of Interest through E-Learning Videos with Matlab

by Rahul Pratap Singh, Parush Agarwal
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 68 - Number 21
Year of Publication: 2013
Authors: Rahul Pratap Singh, Parush Agarwal
10.5120/11706-7370

Rahul Pratap Singh, Parush Agarwal . Extraction of Region of Interest through E-Learning Videos with Matlab. International Journal of Computer Applications. 68, 21 ( April 2013), 38-40. DOI=10.5120/11706-7370

@article{ 10.5120/11706-7370,
author = { Rahul Pratap Singh, Parush Agarwal },
title = { Extraction of Region of Interest through E-Learning Videos with Matlab },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 68 },
number = { 21 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 38-40 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume68/number21/11706-7370/ },
doi = { 10.5120/11706-7370 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:28:33.228083+05:30
%A Rahul Pratap Singh
%A Parush Agarwal
%T Extraction of Region of Interest through E-Learning Videos with Matlab
%J International Journal of Computer Applications
%@ 0975-8887
%V 68
%N 21
%P 38-40
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

With the proliferation of multimedia and the web, there now exists a high demand different types of videos. E-Learning videos have remarkable concern for research field. E-Learning videos are rapidly changing the way that universities and corporations offer education and training through the web. In recent years, the acquisition and distribution of rich media content has been largely automated, however research challenges still remain for the dynamic creation of media productions for the end user experience [3]. A video has number of frames which comprise the useful information in many ways. In E-Learning videos, our "region of interest" or ROI is board part because only board part has useful information that is present as a Text. In this paper we present an elementary Technique to extract our ROI from the frame.

References
  1. Shriram K V, Dr. P. L. K Priyadarsini, Subashri V "An Efficient and Generalized approach for Content Based Image Retrieval in MatLab" I. J. Image, Graphics and Signal Processing, 2012, 4, 42-48
  2. Sharifah Mazlina Syed Khuzzan, Jack Steven Goulding, Jason Underwood "Personalised learning environments : Core development issues for construction"Interactive Educational Multimedia, Number 17 (October, 2008), pp. 48-67.
  3. Mittal, A. , Krishnan, P. V. , & Altman, E. (2006). Content Classification and Context-Based Retrieval System for ELearning. Educational Technology & Society, 9 (1), 349-358
  4. Kinshuk, & Lin, T. (2004). Cognitive profiling towards formal adaptive technologies in web-based learning communities, International Journal of Web Based Communities, 1 (1), 103-108
  5. http://en. wikipedia. org/wiki/Region_of_Interest
  6. Matlabdefinition:http://www. mathworks. in/products/matlab/index. html?s_cid=BB
Index Terms

Computer Science
Information Sciences

Keywords

Region of Interest Content Based Image Indexing Image Processing Connected Components