Video Summarization via Cluster-Based Object Tracking and Type-Based Synopsis

Yuxi Li; Weiyao Lin; Tao Wang; Qi Guo; Ruijia Yang; Shugong Xu

doi:10.1109/MIPR49039.2020.00030

Video Summarization via Cluster-Based Object Tracking and Type-Based Synopsis

Yuxi Li, Weiyao Lin, Tao Wang, Qi Guo, Ruijia Yang, Shugong Xu

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

5 Citations (Scopus)

Abstract

In this paper, we construct a trajectory-based system for the synopsis of surveillance video stream. The proposed approach first applies a cluster-based tracking method to extract foreground object from input videos, then extracts the abnormal object and classifies them into different motion patterns. Finally a type-based synopsis scheme is proposed to properly gather the moving object of different pattern types into limited time endurance. As a consequence, this system would be helpful for accurate and fast surveillance videos analysis.

Original language	English
Title of host publication	Proceedings - 3rd International Conference on Multimedia Information Processing and Retrieval, MIPR 2020
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	113-116
Number of pages	4
ISBN (Electronic)	9781728142722
DOIs	https://doi.org/10.1109/MIPR49039.2020.00030
Publication status	Published - Aug 2020
Externally published	Yes
Event	3rd International Conference on Multimedia Information Processing and Retrieval, MIPR 2020 - Shenzhen, Guangdong, China Duration: 6 Aug 2020 → 8 Aug 2020

Publication series

Name	Proceedings - 3rd International Conference on Multimedia Information Processing and Retrieval, MIPR 2020

Conference

Conference	3rd International Conference on Multimedia Information Processing and Retrieval, MIPR 2020
Country/Territory	China
City	Shenzhen, Guangdong
Period	6/08/20 → 8/08/20

Keywords

System
Tracking
Video-synopsis

Access to Document

10.1109/MIPR49039.2020.00030

Cite this

Li, Y., Lin, W., Wang, T., Guo, Q., Yang, R., & Xu, S. (2020). Video Summarization via Cluster-Based Object Tracking and Type-Based Synopsis. In Proceedings - 3rd International Conference on Multimedia Information Processing and Retrieval, MIPR 2020 (pp. 113-116). Article 9175521 (Proceedings - 3rd International Conference on Multimedia Information Processing and Retrieval, MIPR 2020). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/MIPR49039.2020.00030

Li, Yuxi ; Lin, Weiyao ; Wang, Tao et al. / Video Summarization via Cluster-Based Object Tracking and Type-Based Synopsis. Proceedings - 3rd International Conference on Multimedia Information Processing and Retrieval, MIPR 2020. Institute of Electrical and Electronics Engineers Inc., 2020. pp. 113-116 (Proceedings - 3rd International Conference on Multimedia Information Processing and Retrieval, MIPR 2020).

@inproceedings{d5f17213cba8466399c061500405be70,

title = "Video Summarization via Cluster-Based Object Tracking and Type-Based Synopsis",

abstract = "In this paper, we construct a trajectory-based system for the synopsis of surveillance video stream. The proposed approach first applies a cluster-based tracking method to extract foreground object from input videos, then extracts the abnormal object and classifies them into different motion patterns. Finally a type-based synopsis scheme is proposed to properly gather the moving object of different pattern types into limited time endurance. As a consequence, this system would be helpful for accurate and fast surveillance videos analysis.",

keywords = "System, Tracking, Video-synopsis",

author = "Yuxi Li and Weiyao Lin and Tao Wang and Qi Guo and Ruijia Yang and Shugong Xu",

note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 3rd International Conference on Multimedia Information Processing and Retrieval, MIPR 2020 ; Conference date: 06-08-2020 Through 08-08-2020",

year = "2020",

month = aug,

doi = "10.1109/MIPR49039.2020.00030",

language = "English",

series = "Proceedings - 3rd International Conference on Multimedia Information Processing and Retrieval, MIPR 2020",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "113--116",

booktitle = "Proceedings - 3rd International Conference on Multimedia Information Processing and Retrieval, MIPR 2020",

}

Li, Y, Lin, W, Wang, T, Guo, Q, Yang, R & Xu, S 2020, Video Summarization via Cluster-Based Object Tracking and Type-Based Synopsis. in Proceedings - 3rd International Conference on Multimedia Information Processing and Retrieval, MIPR 2020., 9175521, Proceedings - 3rd International Conference on Multimedia Information Processing and Retrieval, MIPR 2020, Institute of Electrical and Electronics Engineers Inc., pp. 113-116, 3rd International Conference on Multimedia Information Processing and Retrieval, MIPR 2020, Shenzhen, Guangdong, China, 6/08/20. https://doi.org/10.1109/MIPR49039.2020.00030

Video Summarization via Cluster-Based Object Tracking and Type-Based Synopsis. / Li, Yuxi; Lin, Weiyao; Wang, Tao et al.
Proceedings - 3rd International Conference on Multimedia Information Processing and Retrieval, MIPR 2020. Institute of Electrical and Electronics Engineers Inc., 2020. p. 113-116 9175521 (Proceedings - 3rd International Conference on Multimedia Information Processing and Retrieval, MIPR 2020).

Research output: Chapter in Book or Report/Conference proceeding › Conference Proceeding › peer-review

TY - GEN

T1 - Video Summarization via Cluster-Based Object Tracking and Type-Based Synopsis

AU - Li, Yuxi

AU - Lin, Weiyao

AU - Wang, Tao

AU - Guo, Qi

AU - Yang, Ruijia

AU - Xu, Shugong

PY - 2020/8

Y1 - 2020/8

N2 - In this paper, we construct a trajectory-based system for the synopsis of surveillance video stream. The proposed approach first applies a cluster-based tracking method to extract foreground object from input videos, then extracts the abnormal object and classifies them into different motion patterns. Finally a type-based synopsis scheme is proposed to properly gather the moving object of different pattern types into limited time endurance. As a consequence, this system would be helpful for accurate and fast surveillance videos analysis.

AB - In this paper, we construct a trajectory-based system for the synopsis of surveillance video stream. The proposed approach first applies a cluster-based tracking method to extract foreground object from input videos, then extracts the abnormal object and classifies them into different motion patterns. Finally a type-based synopsis scheme is proposed to properly gather the moving object of different pattern types into limited time endurance. As a consequence, this system would be helpful for accurate and fast surveillance videos analysis.

KW - System

KW - Tracking

KW - Video-synopsis

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U2 - 10.1109/MIPR49039.2020.00030

DO - 10.1109/MIPR49039.2020.00030

M3 - Conference Proceeding

AN - SCOPUS:85092135843

T3 - Proceedings - 3rd International Conference on Multimedia Information Processing and Retrieval, MIPR 2020

SP - 113

EP - 116

BT - Proceedings - 3rd International Conference on Multimedia Information Processing and Retrieval, MIPR 2020

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd International Conference on Multimedia Information Processing and Retrieval, MIPR 2020

Y2 - 6 August 2020 through 8 August 2020

ER -

Li Y, Lin W, Wang T, Guo Q, Yang R, Xu S. Video Summarization via Cluster-Based Object Tracking and Type-Based Synopsis. In Proceedings - 3rd International Conference on Multimedia Information Processing and Retrieval, MIPR 2020. Institute of Electrical and Electronics Engineers Inc. 2020. p. 113-116. 9175521. (Proceedings - 3rd International Conference on Multimedia Information Processing and Retrieval, MIPR 2020). doi: 10.1109/MIPR49039.2020.00030

Video Summarization via Cluster-Based Object Tracking and Type-Based Synopsis

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