research-article

Key Frame Extraction Algorithm for Surveillance Video Based on Golden Section

Authors:

Aodi Zhao,

Yi Lai,

Ying Liu,

Hanbing LengAuthors Info & Claims

SSPS '19: Proceedings of the 2019 International Symposium on Signal Processing Systems

Pages 78 - 81

https://doi.org/10.1145/3364908.3365296

Published: 20 September 2019 Publication History

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Abstract

The traditional key frame extraction algorithm can't effectively segment the surveillance video, and it can't focus on the moving objects in the surveillance video data. In this paper, a key frame extraction algorithm based on golden section is proposed. The method first detects and tracks the moving target in the surveillance video, and calculates the entropy value of the foreground image. Secondly, the golden section in mathematical calculation is introduced to divide the sub-segment of the surveillance video, and the standard deviation of the foreground image entropy is used to measure the intra-frame similarity of the video sub-segments. If the intra-frame similarity is low, the frame at the golden section point is selected as the video key frame;if the difference within the video segment is large, golden section is continued until there is no significant difference in the video frames in all video sub-segments. in all the video sub-segments. Through experimental tests on a variety of surveillance video data and comparison with traditional algorithms, the experimental results show that the proposed algorithm effectively compresses the original surveillance video, and can extract the moving objects in the surveillance video more completely.

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Wang JRao YShi XChen X(2021)Picture Preview Generation for Interactive Educational ResourcesComplexity10.1155/2021/55368672021(1-14)Online publication date: 12-May-2021
https://doi.org/10.1155/2021/5536867
Wang JXie LShi XChen XLi XRao Y(2020)Preview Generation for Mathematical Interactive Educational Resources in Netpad2020 8th International Conference on Digital Home (ICDH)10.1109/ICDH51081.2020.00045(221-226)Online publication date: Sep-2020
https://doi.org/10.1109/ICDH51081.2020.00045

Index Terms

Key Frame Extraction Algorithm for Surveillance Video Based on Golden Section
1. Information systems
  1. Information systems applications
    1. Mobile information processing systems

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SSPS '19: Proceedings of the 2019 International Symposium on Signal Processing Systems

September 2019

188 pages

ISBN:9781450362412

DOI:10.1145/3364908

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Beijing University of Posts and Telecommunications

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Association for Computing Machinery

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Published: 20 September 2019

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SSPS 2019: 2019 International Symposium on Signal Processing Systems

September 20 - 22, 2019

Beijing, China

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Wang JRao YShi XChen X(2021)Picture Preview Generation for Interactive Educational ResourcesComplexity10.1155/2021/55368672021(1-14)Online publication date: 12-May-2021
https://doi.org/10.1155/2021/5536867
Wang JXie LShi XChen XLi XRao Y(2020)Preview Generation for Mathematical Interactive Educational Resources in Netpad2020 8th International Conference on Digital Home (ICDH)10.1109/ICDH51081.2020.00045(221-226)Online publication date: Sep-2020
https://doi.org/10.1109/ICDH51081.2020.00045

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Key Frame Extraction of Surveillance Video based on Moving Object Detection and Image Similarity

Reflectance Reference for Intra-Frame Coding of Surveillance Video

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Key Frame Extraction of Surveillance Video based on Moving Object Detection and Image Similarity

Reflectance Reference for Intra-Frame Coding of Surveillance Video

A Novel Framework for Efficient Extraction of Meaningful Key Frames from Surveillance Video

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