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A Two-Layer Graphical Model for Combined Video Shot and Scene Boundary Detection
Toronto, ON, Canada July 09-July 12
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/ICME.2006.2624322006 IEEE International Conference on ...
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Marc Al-Hames, Stefan Zettl, Frank Wallhoff, Stephan Reiter, Bjorn Schuller, Gerhard Rigoll, "A Two-Layer Graphical Model for Combined Video Shot and Scene Boundary Detection," Multimedia and Expo, IEEE International Conference on, pp. 261-264, 2006 IEEE International Conference on Multimedia and Expo, 2006.
 
 
BibTex
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@article{ 10.1109/ICME.2006.262432,
author = {Marc Al-Hames and Stefan Zettl and Frank Wallhoff and Stephan Reiter and Bjorn Schuller and Gerhard Rigoll},
title = {A Two-Layer Graphical Model for Combined Video Shot and Scene Boundary Detection},
journal ={Multimedia and Expo, IEEE International Conference on},
volume = {0},
year = {2006},
isbn = {1-4244-0366-7},
pages = {261-264},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICME.2006.262432},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Multimedia and Expo, IEEE International Conference on
TI - A Two-Layer Graphical Model for Combined Video Shot and Scene Boundary Detection
SN - 1-4244-0366-7
SP261
EP264
A1 - Marc Al-Hames,
A1 - Stefan Zettl,
A1 - Frank Wallhoff,
A1 - Stephan Reiter,
A1 - Bjorn Schuller,
A1 - Gerhard Rigoll,
PY - 2006
KW - null
VL - 0
JA - Multimedia and Expo, IEEE International Conference on
ER -
 
Marc Al-Hames, Technische Universit?t M?nchen, Institute for Human-Machine Communication, Arcisstrasse 16, 80333 M?nchen, Germany. alh@mmk.ei.tum.de
Stefan Zettl, Technische Universit?t M?nchen, Institute for Human-Machine Communication, Arcisstrasse 16, 80333 M?nchen, Germany. zet@mmk.ei.tum.de
Frank Wallhoff, Technische Universit?t M?nchen, Institute for Human-Machine Communication, Arcisstrasse 16, 80333 M?nchen, Germany. waf@mmk.ei.tum.de
Stephan Reiter, Technische Universit?t M?nchen, Institute for Human-Machine Communication, Arcisstrasse 16, 80333 M?nchen, Germany. res@mmk.ei.tum.de
Bjorn Schuller, Technische Universit?t M?nchen, Institute for Human-Machine Communication, Arcisstrasse 16, 80333 M?nchen, Germany. sch@mmk.ei.tum.de
Gerhard Rigoll, Technische Universit?t M?nchen, Institute for Human-Machine Communication, Arcisstrasse 16, 80333 M?nchen, Germany. rigoll@mmk.ei.tum.de
In this work we present a novel two-layer hybrid Graphical model for combined shot and scene boundary detection in videos. In the first layer of the model, low-level features are used to detect shot boundaries. The shot layer is connected to a higher layer that detects scene or chapter boundaries from semantic features. With this structure, the model optimises the alignment for both layers at the same time and the detection results are interconnected. Experimental results on real video data show, that both layers highly benefit from this sharing of information. Compared to a baseline threshold method with the same features, the F-measure result for the shot detection has been improved by 12.6% absolute. For the scene boundary detection, the result has been improved by more than 11% absolute.
Citation:
Marc Al-Hames, Stefan Zettl, Frank Wallhoff, Stephan Reiter, Bjorn Schuller, Gerhard Rigoll, "A Two-Layer Graphical Model for Combined Video Shot and Scene Boundary Detection," icme, pp.261-264, 2006 IEEE International Conference on Multimedia and Expo, 2006
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