Hierarchical shot clustering for video summarization

Young Sik Choi; Sun Jeong Kim; Sangyoun Lee

doi:10.1007/3-540-47789-6_116

Hierarchical shot clustering for video summarization

Young Sik Choi, Sun Jeong Kim, Sangyoun Lee

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

6 Citations (Scopus)

Abstract

Digital video is rapidly becoming a communication medium for education, entertainment, and a variety of multimedia applications. With the size of the video collections growing to thousnads of hours, efficient searching, browsing, and managing video information have become of increasing importance. In this paper, we propose a novel hierarchical shot clustering method for video summarization which can efficiently generate a set of representative shots and provide a quick and efficient access to a large volume of video content. The proposed method is based on the compatibility measure that can represent correlations among shots in a video sequence. Experimental results on real life video sequences show that the resulting summary can retain the essential content of the original video.

Original language	English
Title of host publication	Computational Science, ICCS 2002 - International Conference, Proceedings
Publisher	Springer Verlag
Pages	1100-1107
Number of pages	8
Edition	PART 3
ISBN (Print)	3540435948, 9783540435945
DOIs	https://doi.org/10.1007/3-540-47789-6_116
Publication status	Published - 2002
Event	International Conference on Computational Science, ICCS 2002 - Amsterdam, Netherlands Duration: 2002 Apr 21 → 2002 Apr 24

Publication series

Name	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Number	PART 3
Volume	2331 LNCS
ISSN (Print)	0302-9743
ISSN (Electronic)	1611-3349

Conference

Conference	International Conference on Computational Science, ICCS 2002
Country/Territory	Netherlands
City	Amsterdam
Period	02/4/21 → 02/4/24

All Science Journal Classification (ASJC) codes

Theoretical Computer Science
Computer Science(all)

Access to Document

10.1007/3-540-47789-6_116

Cite this

Choi, Y. S., Kim, S. J., & Lee, S. (2002). Hierarchical shot clustering for video summarization. In Computational Science, ICCS 2002 - International Conference, Proceedings (PART 3 ed., pp. 1100-1107). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2331 LNCS, No. PART 3). Springer Verlag. https://doi.org/10.1007/3-540-47789-6_116

Choi, Young Sik ; Kim, Sun Jeong ; Lee, Sangyoun. / Hierarchical shot clustering for video summarization. Computational Science, ICCS 2002 - International Conference, Proceedings. PART 3. ed. Springer Verlag, 2002. pp. 1100-1107 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3).

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abstract = "Digital video is rapidly becoming a communication medium for education, entertainment, and a variety of multimedia applications. With the size of the video collections growing to thousnads of hours, efficient searching, browsing, and managing video information have become of increasing importance. In this paper, we propose a novel hierarchical shot clustering method for video summarization which can efficiently generate a set of representative shots and provide a quick and efficient access to a large volume of video content. The proposed method is based on the compatibility measure that can represent correlations among shots in a video sequence. Experimental results on real life video sequences show that the resulting summary can retain the essential content of the original video.",

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Choi, YS, Kim, SJ & Lee, S 2002, Hierarchical shot clustering for video summarization. in Computational Science, ICCS 2002 - International Conference, Proceedings. PART 3 edn, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), no. PART 3, vol. 2331 LNCS, Springer Verlag, pp. 1100-1107, International Conference on Computational Science, ICCS 2002, Amsterdam, Netherlands, 02/4/21. https://doi.org/10.1007/3-540-47789-6_116

Hierarchical shot clustering for video summarization. / Choi, Young Sik; Kim, Sun Jeong; Lee, Sangyoun.
Computational Science, ICCS 2002 - International Conference, Proceedings. PART 3. ed. Springer Verlag, 2002. p. 1100-1107 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 2331 LNCS, No. PART 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AB - Digital video is rapidly becoming a communication medium for education, entertainment, and a variety of multimedia applications. With the size of the video collections growing to thousnads of hours, efficient searching, browsing, and managing video information have become of increasing importance. In this paper, we propose a novel hierarchical shot clustering method for video summarization which can efficiently generate a set of representative shots and provide a quick and efficient access to a large volume of video content. The proposed method is based on the compatibility measure that can represent correlations among shots in a video sequence. Experimental results on real life video sequences show that the resulting summary can retain the essential content of the original video.

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Choi YS, Kim SJ, Lee S. Hierarchical shot clustering for video summarization. In Computational Science, ICCS 2002 - International Conference, Proceedings. PART 3 ed. Springer Verlag. 2002. p. 1100-1107. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); PART 3). doi: 10.1007/3-540-47789-6_116

Hierarchical shot clustering for video summarization

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