Scene Segmentation for Interframe Forgery Identification
Dublin Core
Title
Scene Segmentation for Interframe Forgery Identification
Subject
inter-frame forgery; optical flow; similarity; static scene; scene segmentation;video forgery.
Description
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 detectforgeries 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.
Creator
Andriani1, Rimba Whidiana Ciptasari1 & Hertog Nugroho2
Source
https://journals.itb.ac.id/index.php/jictra/article/view/19279/6300
Publisher
choolof Computing, Telkom University, Jalan Telekomunikasi. 1, Kabupaten Bandung 40257, Indonesia
Date
2023
Contributor
Fajar bagus w
Format
PDF
Language
English
Type
Text
Files
Collection
Citation
Andriani1, Rimba Whidiana Ciptasari1 & Hertog Nugroho2, “Scene Segmentation for Interframe Forgery Identification,” Repository Horizon University Indonesia, accessed March 12, 2025, https://repository.horizon.ac.id/items/show/7046.