Video summarization based on extracted key position of spotted objects

Zaur Fataliyev; David Han; Yadigar Imamverdiyev; Hanseok Ko

doi:10.1109/ICCE.2015.7066433

Video summarization based on extracted key position of spotted objects

Zaur Fataliyev, David Han, Yadigar Imamverdiyev, Hanseok Ko

School of Electrical Engineering

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

1 Citation (Scopus)

Abstract

This paper proposes a novel fusion method for summarization of surveillance videos based on extracted key positions of spotted objects in observed area. Accumulated energy of object is calculated by analyzing its motion pattern for key position extraction. The method allows to summarize long videos into a single index frame. Experimental results demonstrate its effectiveness.

Original language	English
Title of host publication	2015 IEEE International Conference on Consumer Electronics, ICCE 2015
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	331-332
Number of pages	2
ISBN (Electronic)	9781479975426
DOIs	https://doi.org/10.1109/ICCE.2015.7066433
Publication status	Published - 2015 Mar 23
Event	2015 IEEE International Conference on Consumer Electronics, ICCE 2015 - Las Vegas, United States Duration: 2015 Jan 9 → 2015 Jan 12

Publication series

Name	2015 IEEE International Conference on Consumer Electronics, ICCE 2015

Other

Other	2015 IEEE International Conference on Consumer Electronics, ICCE 2015
Country/Territory	United States
City	Las Vegas
Period	15/1/9 → 15/1/12

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering
Industrial and Manufacturing Engineering

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10.1109/ICCE.2015.7066433

Cite this

Fataliyev, Z., Han, D., Imamverdiyev, Y., & Ko, H. (2015). Video summarization based on extracted key position of spotted objects. In 2015 IEEE International Conference on Consumer Electronics, ICCE 2015 (pp. 331-332). [7066433] (2015 IEEE International Conference on Consumer Electronics, ICCE 2015). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE.2015.7066433

Video summarization based on extracted key position of spotted objects. / Fataliyev, Zaur; Han, David; Imamverdiyev, Yadigar et al.

2015 IEEE International Conference on Consumer Electronics, ICCE 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 331-332 7066433 (2015 IEEE International Conference on Consumer Electronics, ICCE 2015).

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

Fataliyev, Z, Han, D, Imamverdiyev, Y & Ko, H 2015, Video summarization based on extracted key position of spotted objects. in 2015 IEEE International Conference on Consumer Electronics, ICCE 2015., 7066433, 2015 IEEE International Conference on Consumer Electronics, ICCE 2015, Institute of Electrical and Electronics Engineers Inc., pp. 331-332, 2015 IEEE International Conference on Consumer Electronics, ICCE 2015, Las Vegas, United States, 15/1/9. https://doi.org/10.1109/ICCE.2015.7066433

Fataliyev Z, Han D, Imamverdiyev Y, Ko H. Video summarization based on extracted key position of spotted objects. In 2015 IEEE International Conference on Consumer Electronics, ICCE 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 331-332. 7066433. (2015 IEEE International Conference on Consumer Electronics, ICCE 2015). doi: 10.1109/ICCE.2015.7066433

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abstract = "This paper proposes a novel fusion method for summarization of surveillance videos based on extracted key positions of spotted objects in observed area. Accumulated energy of object is calculated by analyzing its motion pattern for key position extraction. The method allows to summarize long videos into a single index frame. Experimental results demonstrate its effectiveness.",

author = "Zaur Fataliyev and David Han and Yadigar Imamverdiyev and Hanseok Ko",

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AB - This paper proposes a novel fusion method for summarization of surveillance videos based on extracted key positions of spotted objects in observed area. Accumulated energy of object is calculated by analyzing its motion pattern for key position extraction. The method allows to summarize long videos into a single index frame. Experimental results demonstrate its effectiveness.

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Video summarization based on extracted key position of spotted objects

Abstract

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ASJC Scopus subject areas

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