A Topological Data Analysis Approach to Video Summarization

Chuan Shen Hu; Mei Chen Yeh

doi:10.1109/ICIP.2019.8803142

A Topological Data Analysis Approach to Video Summarization

Chuan Shen Hu, Mei Chen Yeh

Department of Computer Science and Information Engineering

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

4 Citations (Scopus)

Abstract

This paper explores the use of simplicial complex to construct a new structure-wise representation for videos. Complementary to the appearance-based representation, which usually involves feature extraction from video content, the proposed method captures the structural properties of a video and can be used for various video processing tasks. We demonstrate a case study of the proposed approach to automated video summarization, which relies only on the developed topological structures and requires no training phase. Experimental results show the potential of this approach to facilitate tasks involving the understanding and analysis of structural information inherent in videos.

Original language	English
Title of host publication	2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings
Publisher	IEEE Computer Society
Pages	1815-1819
Number of pages	5
ISBN (Electronic)	9781538662496
DOIs	https://doi.org/10.1109/ICIP.2019.8803142
Publication status	Published - 2019 Sept
Event	26th IEEE International Conference on Image Processing, ICIP 2019 - Taipei, Taiwan Duration: 2019 Sept 22 → 2019 Sept 25

Publication series

Name	Proceedings - International Conference on Image Processing, ICIP
Volume	2019-September
ISSN (Print)	1522-4880

Conference

Conference	26th IEEE International Conference on Image Processing, ICIP 2019
Country/Territory	Taiwan
City	Taipei
Period	2019/09/22 → 2019/09/25

Keywords

Video summarization
topological data analysis
video processing

ASJC Scopus subject areas

Software
Computer Vision and Pattern Recognition
Signal Processing

Access to Document

10.1109/ICIP.2019.8803142

Cite this

A Topological Data Analysis Approach to Video Summarization. / Hu, Chuan Shen; Yeh, Mei Chen.
2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings. IEEE Computer Society, 2019. p. 1815-1819 8803142 (Proceedings - International Conference on Image Processing, ICIP; Vol. 2019-September).

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

Hu, CS & Yeh, MC 2019, A Topological Data Analysis Approach to Video Summarization. in 2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings., 8803142, Proceedings - International Conference on Image Processing, ICIP, vol. 2019-September, IEEE Computer Society, pp. 1815-1819, 26th IEEE International Conference on Image Processing, ICIP 2019, Taipei, Taiwan, 2019/09/22. https://doi.org/10.1109/ICIP.2019.8803142

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abstract = "This paper explores the use of simplicial complex to construct a new structure-wise representation for videos. Complementary to the appearance-based representation, which usually involves feature extraction from video content, the proposed method captures the structural properties of a video and can be used for various video processing tasks. We demonstrate a case study of the proposed approach to automated video summarization, which relies only on the developed topological structures and requires no training phase. Experimental results show the potential of this approach to facilitate tasks involving the understanding and analysis of structural information inherent in videos.",

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A Topological Data Analysis Approach to Video Summarization

Abstract

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Conference

Keywords

ASJC Scopus subject areas

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