Shot Change Detection via Local Keypoint Matching

被引：32

作者：

Huang, Chun-Rong ^{[1
]}

Lee, Huai-Ping ^{[2
]}

Chen, Chu-Song ^{[1
]}

机构：

[1] Acad Sinica, Inst Informat Sci, Taipei, Taiwan

[2] Univ N Carolina, Dept Comp Sci, Chapel Hill, NC 27514 USA

来源：

IEEE TRANSACTIONS ON MULTIMEDIA | 2008年 / 10卷 / 06期

关键词：

Invariant local feature; matching; recognition; shot change detection;

D O I：

10.1109/TMM.2008.2001374

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Shot change detection is an essential step in video content analysis. However, automatic shot change detection often suffers from high false detection rates due to camera or object movements. To solve this problem, we propose an approach based on local keypoint matching of video frames. This approach aims to detect both abrupt and gradual transitions between shots without modeling different kinds of transitions. Our experiment results show that the proposed algorithm is effective for most kinds of shot changes.

引用

收藏

页码：1097 / 1108

页数：12

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