An Efficient Method for Video Summarization using Moving Object Information

MD. Salehin, Manoranjan Paul

Research output: Book chapter/Published conference paperConference paper

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 languageEnglish
Title of host publicationProceedings of the 18th International Conference on Computer and Information Technology
Subtitle of host publicationICCIT 2015
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages237-242
Number of pages6
ISBN (Electronic)9781467399302
DOIs
Publication statusPublished - 2015
Event18th International Conference on Computer and Information Technology: ICCIT 2015 - Military Institute of Science and Technology (MIST), Dhaka, Bangladesh
Duration: 21 Dec 201523 Dec 2015
https://cse.mist.ac.bd/18th-international-conference-on-computer-and-information-technology-iccit-2015/

Conference

Conference18th International Conference on Computer and Information Technology
CountryBangladesh
CityDhaka
Period21/12/1523/12/15
Internet address

Fingerprint

Fusion reactions
Data storage equipment
Monitoring

Cite this

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 (pp. 237-242). United States: IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICCITechn.2015.7488075
Salehin, MD. ; Paul, Manoranjan. / An Efficient Method for Video Summarization using Moving Object Information. Proceedings of the 18th International Conference on Computer and Information Technology : ICCIT 2015. United States : IEEE, Institute of Electrical and Electronics Engineers, 2015. pp. 237-242
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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.",
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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 paperConference paper

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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.

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Salehin MD, Paul M. An Efficient Method for Video Summarization using Moving Object Information. In 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 https://doi.org/10.1109/ICCITechn.2015.7488075