Video forgery detection method based on local difference binary

Guzin ULUTAS; Beste USTUBIOGLU; Mustafa ULUTAS; Vasif NABIYEV

Makale detayları

Video forgery detection method based on local difference binary

Yazarlar:

Guzin ULUTAS | Beste USTUBIOGLU | Mustafa ULUTAS | Vasif NABIYEV

Yayıncı:

Pamukkale University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Pamukkale University Journal of Engineering Sciences 2020 Vol.26 Issue 5, pp.983-992

Belge Tipi:

Makale

Yayın Tarihi:

10/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000575370

Sıklık:

İki Aylık

eISSN:

2147-5881

pISSN:

1300-7009

Özet:

 

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.

Makale detayları

Video forgery detection method based on local difference binary

Yazarlar: Guzin ULUTAS | Beste USTUBIOGLU | Mustafa ULUTAS | Vasif NABIYEV

Yayıncı: Pamukkale University

Ana Başlıklar: Uygulamalı fizik

Dergi: Pamukkale University Journal of Engineering Sciences 2020 Vol.26 Issue 5, pp.983-992

Belge Tipi: Makale

Yayın Tarihi: 10/2020

Belge Dili: İngilizce

Document ID (Org No.): 2000575370

Sıklık: İki Aylık

eISSN: 2147-5881

pISSN: 1300-7009

Sayı

Yazarlar:

Guzin ULUTAS | Beste USTUBIOGLU | Mustafa ULUTAS | Vasif NABIYEV

Yayıncı:

Pamukkale University

Ana Başlıklar:

Uygulamalı fizik

Dergi:

Pamukkale University Journal of Engineering Sciences 2020 Vol.26 Issue 5, pp.983-992

Belge Tipi:

Makale

Yayın Tarihi:

10/2020

Belge Dili:

İngilizce

Document ID (Org No.):

2000575370

Sıklık:

İki Aylık

eISSN:

2147-5881

pISSN:

1300-7009