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

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.