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» Detecting Video Forgeries Based on Noise Characteristics
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PSIVT
2009
Springer
184views Multimedia» more  PSIVT 2009»
13 years 11 months ago
Detecting Video Forgeries Based on Noise Characteristics
The recent development of video editing techniques enables us to create realistic synthesized videos. Therefore using video data as evidence in places such as a court of law requir...
Michihiro Kobayashi, Takahiro Okabe, Yoichi Sato
TIFS
2010
149views more  TIFS 2010»
12 years 11 months ago
Detecting Forgery From Static-Scene Video Based on Inconsistency in Noise Level Functions
Recently developed video editing techniques have enabled us to create realistic synthesized videos. Therefore, using video data as evidence in places such as courts of law requires...
Michihiro Kobayashi, Takahiro Okabe, Yoichi Sato
ICPR
2008
IEEE
14 years 5 months ago
Detection of digital processing of images through a realistic model of CCD noise
In this paper, we propose a method for detecting digital processing of video such as compositing. Our method is based on a realistic model of charge coupled device (CCD) sensor no...
Jean-Baptiste Maillard, Daniel Lévesque, Fr...
ICMCS
2006
IEEE
164views Multimedia» more  ICMCS 2006»
13 years 10 months ago
Video Break Detection based on Similarity Analysis and Temporal Statistical Characteristics
Video Shot boundary detection is a fundamental task in any kind of video content manipulation and retrieval. The area of shot boundary detection has been extensively studied, but ...
Jianjun Huang
ICMCS
2006
IEEE
133views Multimedia» more  ICMCS 2006»
13 years 10 months ago
A Captcha Based on the Human Visual Systems Masking Characteristics
In this paper, a CAPTCHA is presented based on the masking characteristics of the Human Visual System (HVS). Knowing that noise can be masked by high activity regions and showing ...
Rony Ferzli, Rida A. Bazzi, Lina J. Karam