loading...
Automatic Digest Generation by Extracting Important Scenes from the Content of Presentations
September 01-September 05
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DEXA.2008.212008 19th International Conference on ...
 This Article 
 
Buy PURCHASE ARTICLE: $19
PDF
HTML
Buy IEEE Xplore Subscribers
 
 Share 
   
 Bibliographic References 
   
 Add to: 
 
Digg
Furl
Spurl
Blink
Simpy
Google
Del.icio.us
Y!MyWeb
 
 Search 
   
ASCII Text
x 
 
Hieu Hanh Le, Thitiporn Lertrusdachakul, Tetsutaro Watanabe, Haruo Yokota, "Automatic Digest Generation by Extracting Important Scenes from the Content of Presentations," Database and Expert Systems Applications, International Workshop on, pp. 590-594, 2008 19th International Conference on Database and Expert Systems Application, 2008.
 
 
BibTex
x
 
@article{ 10.1109/DEXA.2008.21,
author = {Hieu Hanh Le and Thitiporn Lertrusdachakul and Tetsutaro Watanabe and Haruo Yokota},
title = {Automatic Digest Generation by Extracting Important Scenes from the Content of Presentations},
journal ={Database and Expert Systems Applications, International Workshop on},
volume = {0},
year = {2008},
issn = {1529-4188},
pages = {590-594},
doi = {http://doi.ieeecomputersociety.org/10.1109/DEXA.2008.21},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
x 
 
TY - CONF
JO - Database and Expert Systems Applications, International Workshop on
TI - Automatic Digest Generation by Extracting Important Scenes from the Content of Presentations
SN - 1529-4188
SP590
EP594
A1 - Hieu Hanh Le,
A1 - Thitiporn Lertrusdachakul,
A1 - Tetsutaro Watanabe,
A1 - Haruo Yokota,
PY - 2008
KW - e-learing
KW - information extraction
KW - video digest
VL - 0
JA - Database and Expert Systems Applications, International Workshop on
ER -
 
Recently, combining a video recording of a presentation along with the digital slides used in it has become popular in E-learning and presentation of archives. For users of the archives, it is useful to preview a digest of such content to grasp the atmosphere and/or an outline of the presentation. This paper proposes a method of automatic digest generation by extracting important scenes from the presentation content. The extracted scenes are chosen based on several factors such as frequency and specificity of words, scene duration and order. Finally, the effectiveness of the proposed methods are evaluated by comparing with testers' answer sets for actual lectures.
Index Terms:
e-learing, information extraction, video digest
Citation:
Hieu Hanh Le, Thitiporn Lertrusdachakul, Tetsutaro Watanabe, Haruo Yokota, "Automatic Digest Generation by Extracting Important Scenes from the Content of Presentations," dexa, pp.590-594, 2008 19th International Conference on Database and Expert Systems Application, 2008
Usage of this product signifies your acceptance of the Terms of Use.