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2008 IEEE International Conference on Semantic Computing
New Real-Time Approaches for Video-Genre-Classification Using High-Level Descriptors and a Set of Classifiers
August 04-August 07
ISBN: 978-0-7695-3279-0
ASCII Text
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Ronald Glasberg, Sebastian Schmiedeke, Martin Mocigemba, Thomas Sikora, "New Real-Time Approaches for Video-Genre-Classification Using High-Level Descriptors and a Set of Classifiers," International Conference on Semantic Computing, pp. 120-127, 2008 IEEE International Conference on Semantic Computing, 2008.
 
 
BibTex
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@article{ 10.1109/ICSC.2008.92,
author = {Ronald Glasberg and Sebastian Schmiedeke and Martin Mocigemba and Thomas Sikora},
title = {New Real-Time Approaches for Video-Genre-Classification Using High-Level Descriptors and a Set of Classifiers},
journal ={International Conference on Semantic Computing},
volume = {0},
year = {2008},
isbn = {978-0-7695-3279-0},
pages = {120-127},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICSC.2008.92},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - International Conference on Semantic Computing
TI - New Real-Time Approaches for Video-Genre-Classification Using High-Level Descriptors and a Set of Classifiers
SN - 978-0-7695-3279-0
SP120
EP127
A1 - Ronald Glasberg,
A1 - Sebastian Schmiedeke,
A1 - Martin Mocigemba,
A1 - Thomas Sikora,
PY - 2008
KW - Video-Genres (Cartoon
KW - Commercial
KW - Music
KW - News
KW - Sport)
KW - High-Level-Descriptors
KW - Content-Analysis
KW - Search-Engines
VL - 0
JA - International Conference on Semantic Computing
ER -
 
In this paper we describe in detail the recent publications related to video-genre-classification and present our improved new approaches for classifying video sequences in real-time as 'cartoon', 'commercial', 'music', 'news' or 'sport' by analyzing the content with new high-level audio-visual descriptors and classification methods. Such applications have also been discussed in the context of MPEG-7. The results demonstrate identification rates of more than 90% based on a large representative collection of 100 videos gathered from free digital TV and Internet.
Index Terms:
Video-Genres (Cartoon, Commercial, Music, News, Sport), High-Level-Descriptors, Content-Analysis, Search-Engines
Citation:
Ronald Glasberg, Sebastian Schmiedeke, Martin Mocigemba, Thomas Sikora, "New Real-Time Approaches for Video-Genre-Classification Using High-Level Descriptors and a Set of Classifiers," icsc, pp.120-127, 2008 IEEE International Conference on Semantic Computing, 2008
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