Detecting Cyclostationarity in Re-Captured LCD Screens

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F15%3A00458829" target="_blank" >RIV/67985556:_____/15:00458829 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.4172/2157-7145.1000294" target="_blank" >http://dx.doi.org/10.4172/2157-7145.1000294</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.4172/2157-7145.1000294" target="_blank" >10.4172/2157-7145.1000294</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Detecting Cyclostationarity in Re-Captured LCD Screens

Popis výsledku v původním jazyce

It is easy to display a video or picture on an LCD screen and recapture it by using a camera to hide traces of digital image manipulation or fool an access system based on face recognition technique. In this paper, we show that humans do not have a good performance in detecting recaptured data from LCD screens. Hence, it is important to have methods capable of distinguishing between natural videos and pictures and those recaptured ones. In this paper, we show that, typically, recaptured images and videos from LCD screens exhibit detectable periodic patterns that are caused by regular sampling grid of the LCD monitor and aliasing. We develop our method using the theory of cyclostationarity and experimentally validate it. The term cyclostationarity refers to a special class of signals which exhibit periodicity in their statistics. Our method will be based on the fact that a cyclostationary signal has a frequency spectrum correlated with a shifted version of itself.

Název v anglickém jazyce

Detecting Cyclostationarity in Re-Captured LCD Screens

Popis výsledku anglicky

It is easy to display a video or picture on an LCD screen and recapture it by using a camera to hide traces of digital image manipulation or fool an access system based on face recognition technique. In this paper, we show that humans do not have a good performance in detecting recaptured data from LCD screens. Hence, it is important to have methods capable of distinguishing between natural videos and pictures and those recaptured ones. In this paper, we show that, typically, recaptured images and videos from LCD screens exhibit detectable periodic patterns that are caused by regular sampling grid of the LCD monitor and aliasing. We develop our method using the theory of cyclostationarity and experimentally validate it. The term cyclostationarity refers to a special class of signals which exhibit periodicity in their statistics. Our method will be based on the fact that a cyclostationary signal has a frequency spectrum correlated with a shifted version of itself.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

JD - Využití počítačů, robotika a její aplikace

OECD FORD obor

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Projekt

<a href="/cs/project/GA13-28462S" target="_blank" >GA13-28462S: Analýza pravosti digitálního videa</a><br>

Návaznosti

I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Rok uplatnění

2015

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název periodika

Journal of Forensic Research

ISSN

2157-7145

e-ISSN

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Svazek periodika

6

Číslo periodika v rámci svazku

4

Stát vydavatele periodika

US - Spojené státy americké

Počet stran výsledku

6

Strana od-do

1000294-1-1000294-6

Kód UT WoS článku

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EID výsledku v databázi Scopus

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