Abstract
| 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 | |
| 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 | Bangladesh |
| City | Dhaka |
| Period | 21/12/15 → 23/12/15 |
| Internet address |
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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
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
ER -