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Reseach Article

An Effective Method of Video Segmentation and Summarization for Surveillance

by Pratyush Pranjal, Rohit Lakhdive, Aditya Vasave, Atulkumar Varma, Amit Barve
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 95 - Number 2
Year of Publication: 2014
Authors: Pratyush Pranjal, Rohit Lakhdive, Aditya Vasave, Atulkumar Varma, Amit Barve
10.5120/16563-6227

Pratyush Pranjal, Rohit Lakhdive, Aditya Vasave, Atulkumar Varma, Amit Barve . An Effective Method of Video Segmentation and Summarization for Surveillance. International Journal of Computer Applications. 95, 2 ( June 2014), 1-3. DOI=10.5120/16563-6227

@article{ 10.5120/16563-6227,
author = { Pratyush Pranjal, Rohit Lakhdive, Aditya Vasave, Atulkumar Varma, Amit Barve },
title = { An Effective Method of Video Segmentation and Summarization for Surveillance },
journal = { International Journal of Computer Applications },
issue_date = { June 2014 },
volume = { 95 },
number = { 2 },
month = { June },
year = { 2014 },
issn = { 0975-8887 },
pages = { 1-3 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume95/number2/16563-6227/ },
doi = { 10.5120/16563-6227 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:18:21.374567+05:30
%A Pratyush Pranjal
%A Rohit Lakhdive
%A Aditya Vasave
%A Atulkumar Varma
%A Amit Barve
%T An Effective Method of Video Segmentation and Summarization for Surveillance
%J International Journal of Computer Applications
%@ 0975-8887
%V 95
%N 2
%P 1-3
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In today's world, video surveillance has become an integral part of investigation system. Video Segmentation and Summarization plays a crucial role in the field of Video analysis. The paper presents an approach that helps in extracting the movable segments from a large stable video. The system takes the video as input and extracts the movements from the video and identifies the time-intervals. Initially frames (images) are extracted from the video and compared consecutively. If some movements are detected then the movement signatures (start time – end time) are stored. Based on signaturesthe segmented and summarized video is generated. The result shows substantial improvement in video summarization process.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Key frame Video Segmentation and Summarization P-Hash