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Dergiler / Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi / 2020 / Cilt: 26 - Sayı: 5

Video forgery detection method based on local difference binary

Guzin ULUTAS
Beste USTUBIOGLU
Mustafa ULUTAS
Vasif NABIYEV
Sayfa
983–992
Yayın Tarihi
2020-10-23
DOI
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Yapay Zeka Hızlı Bakış & Çıkarımlar

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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Experimental results indicate that the proposed method has lower execution time with higher accuracy than similar works.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:Recently, the rapid development of video editing software has made video forgery applicable.
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Temel Bulgular & Veri:Researchers have proposed methods to detect forged video frames.
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Sonuç & Katkı:Experimental results indicate that the proposed method has lower execution time with higher accuracy than similar works.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Video forgery · LDB · Frame duplication detection

Abstract

Recently, the rapid development of video editing software has made video forgery applicable. Researchers have proposed methods to detect forged video frames. These methods utilize codec properties, motion artifacts, noise effect and frame similarity to detect forgery. Execution time and low detection accuracy are the two main drawbacks of forgery detection methods reported in the literature. In this study, a new frame duplication detection method using Local Difference Binary (LDB) is proposed to extract features from the frames. Distance between similar frames that have similar feature vectors are is used by the method to estimate Distance of Forgery and to determine the exact location of duplicated frames. PSNR between similar frames are is then used to group them into three classes, and rule-based mechanism reports forged frames according to the membership to classes. Experimental results indicate that the proposed method has lower execution time with higher accuracy than similar works.

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Bu Makaleye Atıf Yap

ULUTAS, G., USTUBIOGLU, B., ULUTAS, M., NABIYEV, V. (2020). Video forgery detection method based on local difference binary. Pamukkale Üniversitesi Mühendislik Bilimleri Dergisi, Cilt: 26 - Sayı: 5, 983–992. https://ajindex.com/articles/104560

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Kaynakça (13)

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