Exploring color information to characterize camcorder piracy

Moreira-Perez, Juan Jose; Chupeau, Bertrand; Doerr, Gwenaël; Baudry, Séverine

doi:10.1109/wifs.2013.6707807

Cited by 7 publications

(3 citation statements)

References 4 publications

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“…It is incarnated by typical dark/bright stripes that scroll up/down the pirate video. In prior work, research efforts have been dedicated to detect the presence of such flicker [13,14,11,3]. Indeed, this tell-tale artifact provides clues about the piracy path and can be exploited by the forensic analyst to select which watermark detector to use.…”

Section: Introductionmentioning

confidence: 99%

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Flicker Forensics for Pirate Device Identification

Hajj-Ahmad

Baudry

Chupeau

et al. 2015

Proceedings of the 3rd ACM Workshop on Information Hiding and Multimedia Security

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Cryptography-based content protection is an efficient means to protect multimedia content during transport. Nevertheless, content is eventually decrypted at rendering time, leaving it vulnerable to piracy e.g. using a camcorder to record movies displayed on an LCD screen. Such type of piracy naturally imprints a visible flicker signal in the pirate video due to the interplay between the rendering and acquisition devices. The parameters of such flicker are inherently tied to the characteristics of the pirate devices such as the backlight of the LCD screen and the read-out time of the camcorder. In this article, we introduce a forensic methodology to estimate such parameters by analyzing the flicker signal present in pirate recordings. Experimental results clearly showcase that the accuracy of these estimation techniques offers efficient means to tell-tale which devices have been used for piracy thanks to the variety of factory settings used by consumer electronics manufacturers. Figure 1: Flicker artifact when recording an LCD screen displaying a uniformly gray frame with a camcorder.

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Section: Introductionmentioning

confidence: 99%

“…Back-light frequency fBL computed either by leveraging on the piracy identity with Equation(11) or by exploiting frequency aliasing to refine the rough estimate with Equation(12). Figures in italic indicate LCD screen identification errors.…”

mentioning

confidence: 99%

Flicker Forensics for Pirate Device Identification

Hajj-Ahmad

Baudry

Chupeau

et al. 2015

Proceedings of the 3rd ACM Workshop on Information Hiding and Multimedia Security

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“…Larabi, Rosselli e Fernandez Maloigne (2009) propõem uma técnica de adição de ruído com fins de evitar a gravação de filmes em salas de cinema. Um novo campo de estudo emergiu com esta problemática, composto pela análise forense de vídeos pirateados, buscando a partir da avaliação de detalhes técnicos dos sinais luminosos dos vídeos extrair meios de identificar os agentes que o piratearam, frequentemente pessoas que o gravaram em salas de cinema (RUDMAN et al, 2016;BAUDRY, CHUPEAU e LEFèBVRE, 2009;HAJJ-AHMAD et al, 2017;THAKUR e KUMAR, 2015;MOREIRA-PéREZ et al, 2013;ROOPALAKSHMI e REDDY, 2012;CHUPEAU, BAUDRY e DOERR, 2014).…”

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O consumo de filmes em cinemas no Brasil: uma análise de florestas aleatórias

Justa¹

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também avaliamos se estes consumidores diferem significativamente dos não consumidores em suas características observáveis. Adicionalmente, num segundo estudo, usando um modelo de intervenção de Diferenças em Diferenças, investigamos o efeito da banda larga sobre o consumo de cinema. Os resultados apontam divergência clara entre os perfis de consumidores e não consumidores de filmes de cinema. . Palavras-chaves: Filmes. Cinema. Mineração de dados. Florestas aleatórias. Internet banda larga. Diferenças em Diferenças. Análise de consumidores. Perfil de consumidores. Abstract Justa, Ticiana Sá da. Movies' consumption in Brazil: a random forests analysis. 2019. 113 p. Dissertation (Master of Science) -School of Arts, Sciences and Humanities, University of São Paulo, São Paulo, 2019. I investigate whether film at theaters' consumers in two distinct time are different in their observable characteristics. My investigation is based on observable variables of consumers and non-consumers data from the Family Budget Survey (POF) of 2002/2003, when the use of broadband in Brazil was almost nil, and from 2008/2009, when it already was established in the country. This change in addition to the high degree of technological changes over the period provides a window of opportunity for our objective. Although methodologically it is not possible to full isolate the effect of Internet access on film consumption, it is expected that the higher the user access speed and the greater the evolution of file compression technologies, the faster and bigger will be the traffic of films files on the web. Accordingly, the greater distribution of content on the network enables the consumption of films in alternative ways to movie theaters. Thus, in addition to identifying possible changes in the profile of movie consumers at the theaters in Brazil since the popularization of broadband in the country, which can officially be considered in the year 2006, the study assess whether these consumers differ significantly from not consumers in their observable characteristics.The results points to several distinctions between cinema consumers and no cinema consumers.

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Near-duplicate detection for LCD screen acquired images using edge histogram descriptor

Mehta

Tripathi

2022

Multimed Tools Appl

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Exploring color information to characterize camcorder piracy

Cited by 7 publications

References 4 publications

Flicker Forensics for Pirate Device Identification

Flicker Forensics for Pirate Device Identification

O consumo de filmes em cinemas no Brasil: uma análise de florestas aleatórias

Near-duplicate detection for LCD screen acquired images using edge histogram descriptor

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