A Topological Data Analysis Approach to Video Summarization

Chuan Shen Hu, Mei Chen Yeh

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (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 languageEnglish
Title of host publication2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings
PublisherIEEE Computer Society
Pages1815-1819
Number of pages5
ISBN (Electronic)9781538662496
DOIs
Publication statusPublished - 2019 Sep
Event26th IEEE International Conference on Image Processing, ICIP 2019 - Taipei, Taiwan
Duration: 2019 Sep 222019 Sep 25

Publication series

NameProceedings - International Conference on Image Processing, ICIP
Volume2019-September
ISSN (Print)1522-4880

Conference

Conference26th IEEE International Conference on Image Processing, ICIP 2019
CountryTaiwan
CityTaipei
Period19/9/2219/9/25

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Keywords

  • topological data analysis
  • video processing
  • Video summarization

ASJC Scopus subject areas

  • Software
  • Computer Vision and Pattern Recognition
  • Signal Processing

Cite this

Hu, C. S., & Yeh, M. C. (2019). A Topological Data Analysis Approach to Video Summarization. In 2019 IEEE International Conference on Image Processing, ICIP 2019 - Proceedings (pp. 1815-1819). [8803142] (Proceedings - International Conference on Image Processing, ICIP; Vol. 2019-September). IEEE Computer Society. https://doi.org/10.1109/ICIP.2019.8803142