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Scene Segmentation for Interframe Forgery Identification

Journal of ICT Research and Applications (JICTRA) · Vol. 17 No. 2 (2023) · pp. 201–213

DOI
10.5614/itbj.ict.res.appl.2023.17.2.5
ISSN
2338-5499, 2337-5787
Published
2023-08-31
Publisher
DRI - ITB
Language
eng

Abstract

A common type of video forgery is inter-frame forgery, which occurs in the temporal domain, such as frame duplication, frame insertion, and frame deletion. Some existing methods are not effective to detect forgeries in static scenes. This work proposes static and dynamic scene segmentation and performs forgery detection for each scene. Scene segmentation is performed for outlier detection based on changes of optical flow. Various similarity checks are performed to find the correlation for each frame. The experimental results showed that the proposed method is effective in identifying forgeries in various scenes, especially static scenes, compared with existing methods.

Keywords

Collaboration network of the authors

13 authors · 58 co-authorship links

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  • Telkom University
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
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Co-authorOrganisationJoint articles
Kadek Ayu ErikaAffiliation unknown1
Ariyanti SalehAffiliation unknown1
Suni HariatiAffiliation unknown1
Andi Dwi Bahagia FebrianiAffiliation unknown1
NurmaulidAffiliation unknown1
ErfinaAffiliation unknown1
Muhammad Imanuddin Taqwa KarimAffiliation unknown1
Fany Angriany RamadhanaAffiliation unknown1
Nadya Salsabila RamadhaniAffiliation unknown1
Futri ElzahraAffiliation unknown1

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 1 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en-US">Scene Segmentation for Interframe Forgery Identification</dc:title>
	<dc:creator>Andriani</dc:creator>
	<dc:creator>Ciptasari, Rimba Whidiana</dc:creator>
	<dc:creator>Nugroho, Hertog</dc:creator>
	<dc:subject xml:lang="en-US">inter-frame forgery</dc:subject>
	<dc:subject xml:lang="en-US">optical flow</dc:subject>
	<dc:subject xml:lang="en-US">similarity</dc:subject>
	<dc:subject xml:lang="en-US">static scene</dc:subject>
	<dc:subject xml:lang="en-US">scene segmentation</dc:subject>
	<dc:subject xml:lang="en-US">video forgery</dc:subject>
	<dc:description xml:lang="en-US">A common type of video forgery is inter-frame forgery, which occurs in the temporal domain, such as frame duplication, frame insertion, and frame deletion. Some existing methods are not effective to detect forgeries in static scenes. This work proposes static and dynamic scene segmentation and performs forgery detection for each scene. Scene segmentation is performed for outlier detection based on changes of optical flow. Various similarity checks are performed to find the correlation for each frame. The experimental results showed that the proposed method is effective in identifying forgeries in various scenes, especially static scenes, compared with existing methods.</dc:description>
	<dc:publisher xml:lang="en-US">DRI - ITB</dc:publisher>
	<dc:date>2023-08-31</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/19279</dc:identifier>
	<dc:identifier>10.5614/itbj.ict.res.appl.2023.17.2.5</dc:identifier>
	<dc:source xml:lang="en-US">Journal of ICT Research and Applications; Vol. 17 No. 2 (2023); 201-213</dc:source>
	<dc:source>2338-5499</dc:source>
	<dc:source>2337-5787</dc:source>
	<dc:source>10.5614/itbj.ict.res.appl.2023.17.2</dc:source>
	<dc:language>eng</dc:language>
	<dc:relation>https://journals.itb.ac.id/index.php/jictra/article/view/19279/6300</dc:relation>
	<dc:rights xml:lang="en-US">Copyright (c) 2023 Journal of ICT Research and Applications</dc:rights>
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