An Efficient Method for Video Summarization using Moving Object Information

MD. Salehin; Manoranjan Paul

doi:10.1109/ICCITechn.2015.7488075

An Efficient Method for Video Summarization using Moving Object Information

MD. Salehin, Manoranjan Paul

Research output: Book chapter/Published conference paper › Conference paper › peer-review

1 Citation (Scopus)

Abstract

Video surveillance system captures continuous video for the purpose of security, monitoring, investigating and so on. It requires huge memory space to store as well as enormous time to retrieve important information manually from this high volume of videos. In this paper, we propose a novel video summarization scheme using moving object information by considering area of moving objects extracted from dynamic background modeling and frame-to-frame object motion. Through this scheme we rank all frames according to the importance of being key frame by combining moving object features through a fusion method so that users can select desired length of videos for summary. The experimental results show that the proposed method provides better video summary compared to the state-of-the-art method using a publicly available benchmark BL-7F video surveillance datasets.

Original language	English
Title of host publication	Proceedings of the 18th International Conference on Computer and Information Technology
Subtitle of host publication	ICCIT 2015
Place of Publication	United States
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	237-242
Number of pages	6
ISBN (Electronic)	9781467399302
DOIs	https://doi.org/10.1109/ICCITechn.2015.7488075
Publication status	Published - 2015
Event	18th International Conference on Computer and Information Technology: ICCIT 2015 - Military Institute of Science and Technology (MIST), Dhaka, Bangladesh Duration: 21 Dec 2015 → 23 Dec 2015 https://cse.mist.ac.bd/18th-international-conference-on-computer-and-information-technology-iccit-2015/

Conference

Conference	18th International Conference on Computer and Information Technology
Country/Territory	Bangladesh
City	Dhaka
Period	21/12/15 → 23/12/15
Internet address	https://cse.mist.ac.bd/18th-international-conference-on-computer-and-information-technology-iccit-2015/

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10.1109/ICCITechn.2015.7488075

http://ieeexplore.ieee.org/document/7488075/

Cite this

@inproceedings{4b03be1427da493a82195f49aa55100a,

title = "An Efficient Method for Video Summarization using Moving Object Information",

abstract = "Video surveillance system captures continuous video for the purpose of security, monitoring, investigating and so on. It requires huge memory space to store as well as enormous time to retrieve important information manually from this high volume of videos. In this paper, we propose a novel video summarization scheme using moving object information by considering area of moving objects extracted from dynamic background modeling and frame-to-frame object motion. Through this scheme we rank all frames according to the importance of being key frame by combining moving object features through a fusion method so that users can select desired length of videos for summary. The experimental results show that the proposed method provides better video summary compared to the state-of-the-art method using a publicly available benchmark BL-7F video surveillance datasets.",

author = "MD. Salehin and Manoranjan Paul",

note = "Imported on 03 May 2017 - DigiTool details were: publisher = United States: Institute of Electrical and Electronics Engineers (IEEE) Press, 2015. Event dates (773o) = 21-23 December 2015; Parent title (773t) = International Conference on Computer and Information Technology.; 18th International Conference on Computer and Information Technology : ICCIT 2015 ; Conference date: 21-12-2015 Through 23-12-2015",

year = "2015",

doi = "10.1109/ICCITechn.2015.7488075",

language = "English",

pages = "237--242",

booktitle = "Proceedings of the 18th International Conference on Computer and Information Technology",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States",

url = "https://cse.mist.ac.bd/18th-international-conference-on-computer-and-information-technology-iccit-2015/",

}

Salehin, MD & Paul, M 2015, An Efficient Method for Video Summarization using Moving Object Information. in Proceedings of the 18th International Conference on Computer and Information Technology : ICCIT 2015. IEEE, Institute of Electrical and Electronics Engineers, United States, pp. 237-242, 18th International Conference on Computer and Information Technology, Dhaka, Bangladesh, 21/12/15. https://doi.org/10.1109/ICCITechn.2015.7488075

An Efficient Method for Video Summarization using Moving Object Information. / Salehin, MD.; Paul, Manoranjan.

Proceedings of the 18th International Conference on Computer and Information Technology : ICCIT 2015. United States : IEEE, Institute of Electrical and Electronics Engineers, 2015. p. 237-242.

Research output: Book chapter/Published conference paper › Conference paper › peer-review

TY - GEN

T1 - An Efficient Method for Video Summarization using Moving Object Information

AU - Salehin, MD.

AU - Paul, Manoranjan

N1 - Imported on 03 May 2017 - DigiTool details were: publisher = United States: Institute of Electrical and Electronics Engineers (IEEE) Press, 2015. Event dates (773o) = 21-23 December 2015; Parent title (773t) = International Conference on Computer and Information Technology.

PY - 2015

Y1 - 2015

N2 - Video surveillance system captures continuous video for the purpose of security, monitoring, investigating and so on. It requires huge memory space to store as well as enormous time to retrieve important information manually from this high volume of videos. In this paper, we propose a novel video summarization scheme using moving object information by considering area of moving objects extracted from dynamic background modeling and frame-to-frame object motion. Through this scheme we rank all frames according to the importance of being key frame by combining moving object features through a fusion method so that users can select desired length of videos for summary. The experimental results show that the proposed method provides better video summary compared to the state-of-the-art method using a publicly available benchmark BL-7F video surveillance datasets.

AB - Video surveillance system captures continuous video for the purpose of security, monitoring, investigating and so on. It requires huge memory space to store as well as enormous time to retrieve important information manually from this high volume of videos. In this paper, we propose a novel video summarization scheme using moving object information by considering area of moving objects extracted from dynamic background modeling and frame-to-frame object motion. Through this scheme we rank all frames according to the importance of being key frame by combining moving object features through a fusion method so that users can select desired length of videos for summary. The experimental results show that the proposed method provides better video summary compared to the state-of-the-art method using a publicly available benchmark BL-7F video surveillance datasets.

UR - http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=7482923

U2 - 10.1109/ICCITechn.2015.7488075

DO - 10.1109/ICCITechn.2015.7488075

M3 - Conference paper

SP - 237

EP - 242

BT - Proceedings of the 18th International Conference on Computer and Information Technology

PB - IEEE, Institute of Electrical and Electronics Engineers

CY - United States

T2 - 18th International Conference on Computer and Information Technology

Y2 - 21 December 2015 through 23 December 2015

ER -

An Efficient Method for Video Summarization using Moving Object Information

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