Shot change detection via local keypoint matching

Chun Rong Huang; Huai Ping Lee; Chu Song Chen

doi:10.1109/TMM.2008.2001374

Shot change detection via local keypoint matching

Chun Rong Huang, Huai Ping Lee, Chu Song Chen

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Research output: Contribution to journal › Article › peer-review

41 Citations (Scopus)

Abstract

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.

Original language	English
Article number	4657447
Pages (from-to)	1097-1108
Number of pages	12
Journal	IEEE Transactions on Multimedia
Volume	10
Issue number	6
DOIs	https://doi.org/10.1109/TMM.2008.2001374
Publication status	Published - 2008 Oct

All Science Journal Classification (ASJC) codes

Signal Processing
Media Technology
Computer Science Applications
Electrical and Electronic Engineering

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10.1109/TMM.2008.2001374

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title = "Shot change detection via local keypoint matching",

abstract = "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.",

author = "Huang, {Chun Rong} and Lee, {Huai Ping} and Chen, {Chu Song}",

note = "Funding Information: Manuscript received December 29, 2006; revised April 14, 2008 and November 20, 2007. Current version published October 24, 2008. This work was supported by the National Science Council of Taiwan, R.O.C., under Grant NSC 96-3113-H-001-011. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Ling Guan.",

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AU - Huang, Chun Rong

AU - Lee, Huai Ping

AU - Chen, Chu Song

N1 - Funding Information: Manuscript received December 29, 2006; revised April 14, 2008 and November 20, 2007. Current version published October 24, 2008. This work was supported by the National Science Council of Taiwan, R.O.C., under Grant NSC 96-3113-H-001-011. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Ling Guan.

PY - 2008/10

Y1 - 2008/10

N2 - 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.

AB - 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.

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Shot change detection via local keypoint matching

Abstract

All Science Journal Classification (ASJC) codes

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