TY - GEN
T1 - A two-layer graphical model for combined video shot and scene boundary detection
AU - Al-Hames, Marc
AU - Zettl, Stefan
AU - Wallhoff, Frank
AU - Reiter, Stephan
AU - Schuller, Björn
AU - Rigoll, Gerhard
PY - 2006
Y1 - 2006
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=34247590505&partnerID=8YFLogxK
U2 - 10.1109/ICME.2006.262432
DO - 10.1109/ICME.2006.262432
M3 - Conference contribution
AN - SCOPUS:34247590505
SN - 1424403677
SN - 9781424403677
T3 - 2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings
SP - 261
EP - 264
BT - 2006 IEEE International Conference on Multimedia and Expo, ICME 2006 - Proceedings
T2 - 2006 IEEE International Conference on Multimedia and Expo, ICME 2006
Y2 - 9 July 2006 through 12 July 2006
ER -