TY - GEN
T1 - A local keypoint matching technique for transition detection
AU - Huang, Chun Rong
AU - Lee, Huai Ping
AU - Chen, Chu Song
PY - 2007
Y1 - 2007
N2 - Shot change detection is an essential step in video content analysis. However, automatic shot change detection often suffers high false detection rates when there are camera or object movements. In this paper, we propose an approach to solve this problem based on local keypoint matching of the video frames. Experimental results show that the proposed algorithm is effective for all kinds of shot changes.
AB - Shot change detection is an essential step in video content analysis. However, automatic shot change detection often suffers high false detection rates when there are camera or object movements. In this paper, we propose an approach to solve this problem based on local keypoint matching of the video frames. Experimental results show that the proposed algorithm is effective for all kinds of shot changes.
UR - https://www.scopus.com/pages/publications/84872541329
UR - https://www.scopus.com/pages/publications/84872541329#tab=citedBy
M3 - Conference contribution
AN - SCOPUS:84872541329
SN - 9784901122078
T3 - Proceedings of IAPR Conference on Machine Vision Applications, MVA 2007
SP - 219
EP - 222
BT - Proceedings of IAPR Conference on Machine Vision Applications, MVA 2007
T2 - 10th IAPR Conference on Machine Vision Applications, MVA 2007
Y2 - 16 May 2007 through 18 May 2007
ER -