Melola Discovery

← Melola Discovery

Jurnal SINTA 2

Towards Enhancing Keyframe Extraction Strategy for Summarizing Surveillance Video: An Implementation Study

Journal of ICT Research and Applications (JICTRA) · Vol. 16 No. 2 (2022) · pp. 167–183

DOI
10.5614/itbj.ict.res.appl.2022.16.2.5
ISSN
2338-5499, 2337-5787
Published
2022-09-23
Publisher
DRI - ITB
Language
eng

Abstract

The large amounts of surveillance video data are recorded, containing many redundant video frames, which makes video browsing and retrieval difficult, thus increasing bandwidth utilization, storage capacity, and time consumed. To ensure the reduction in bandwidth utilization and storage capacity to the barest minimum, keyframe extraction strategies have been developed. These strategies are implemented to extract unique keyframes whilst removing redundancies. Despite the achieved improvement in keyframe extraction processes, there still exist a significant number of redundant frames in summarized videos. With a view to addressing this issue, the current paper proposes an enhanced keyframe extraction strategy using k-means clustering and a statistical approach. Surveillance footage, movie clips, advertisements, and sports videos from a benchmark database as well as Compeng IP surveillance videos were used to evaluate the performance of the proposed method. In terms of compression ratio, the results showed that the proposed scheme outperformed existing schemes by 2.82%. This implies that the proposed scheme further removed redundant frames whiles retaining video quality. In terms of video playtime, there was an average reduction of 27.32%, thus making video content retrieval less cumbersome when compared with existing schemes. Implementation was done using MATLAB R2020b.

Keywords

Collaboration network of the authors

12 authors · 36 co-authorship links · 15 across different organisations

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Ahmadu Bello University
  • Federal University of Technology
  • University of Ilorin
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Ahmed Tijani SalawudeenAhmadu Bello University4
Adeiza James OnumanyiFederal University of Technology3
Henry Ohiani OhizeFederal University of Technology2
Abiodun Musa AibinuFederal University of Technology2
Jibrin BalaAhmadu Bello University1
Ime Jarlath UmohAhmadu Bello University1
Basira YahayaAhmadu Bello University1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

Metadata source: OAI-PMH (metadata jurnal) https://journals.itb.ac.id/index.php/jictra/oai, first harvested 26 Okt 2026, last seen 26 Okt 2026.
Original metadata (oai_dc) 
<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<dc:title xml:lang="en-US">Towards Enhancing Keyframe Extraction Strategy for Summarizing Surveillance Video: An Implementation Study</dc:title>
	<dc:creator>Sadiq, Bashir Olaniyi</dc:creator>
	<dc:creator>Bello-Salau, Habeeb</dc:creator>
	<dc:creator>Abduraheem-Olaniyi, Latifat</dc:creator>
	<dc:creator>Muhammed, Bilyaminu</dc:creator>
	<dc:creator>Olayinka Zakariyya, Sikiru</dc:creator>
	<dc:subject xml:lang="en-US">keyframe extraction</dc:subject>
	<dc:subject xml:lang="en-US">surveillance video</dc:subject>
	<dc:subject xml:lang="en-US">video compression</dc:subject>
	<dc:subject xml:lang="en-US">video storage</dc:subject>
	<dc:subject xml:lang="en-US">video summarization</dc:subject>
	<dc:description xml:lang="en-US">The large amounts of surveillance video data are recorded, containing many redundant video frames, which makes video browsing and retrieval difficult, thus increasing bandwidth utilization, storage capacity, and time consumed. To ensure the reduction in bandwidth utilization and storage capacity to the barest minimum, keyframe extraction strategies have been developed. These strategies are implemented to extract unique keyframes whilst removing redundancies. Despite the achieved improvement in keyframe extraction processes, there still exist a significant number of redundant frames in summarized videos. With a view to addressing this issue, the current paper proposes an enhanced keyframe extraction strategy using k-means clustering and a statistical approach. Surveillance footage, movie clips, advertisements, and sports videos from a benchmark database as well as Compeng IP surveillance videos were used to evaluate the performance of the proposed method. In terms of compression ratio, the results showed that the proposed scheme outperformed existing schemes by 2.82%. This implies that the proposed scheme further removed redundant frames whiles retaining video quality. In terms of video playtime, there was an average reduction of 27.32%, thus making video content retrieval less cumbersome when compared with existing schemes. Implementation was done using MATLAB R2020b.</dc:description>
	<dc:publisher xml:lang="en-US">DRI - ITB</dc:publisher>
	<dc:date>2022-09-23</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en-US">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journals.itb.ac.id/index.php/jictra/article/view/16963</dc:identifier>
	<dc:identifier>10.5614/itbj.ict.res.appl.2022.16.2.5</dc:identifier>
	<dc:source xml:lang="en-US">Journal of ICT Research and Applications; Vol. 16 No. 2 (2022); 167-183</dc:source>
	<dc:source>2338-5499</dc:source>
	<dc:source>2337-5787</dc:source>
	<dc:source>10.5614/itbj.ict.res.appl.2022.16.2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journals.itb.ac.id/index.php/jictra/article/view/16963/5972</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2022 Journal of ICT Research and Applications</dc:rights>
</oai_dc:dc>