Título: | A TOOL FOR TRACKING VIDEOS AND IMAGES USING STEGANOGRAPHY TECHNIQUES | ||||||||||||
Autor: |
JAISSE GRELA ESCOBAR |
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Colaborador(es): |
BRUNO FEIJO - Orientador |
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Catalogação: | 22/FEV/2016 | Língua(s): | PORTUGUESE - BRAZIL |
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Tipo: | TEXT | Subtipo: | THESIS | ||||||||||
Notas: |
[pt] Todos os dados constantes dos documentos são de inteira responsabilidade de seus autores. Os dados utilizados nas descrições dos documentos estão em conformidade com os sistemas da administração da PUC-Rio. [en] All data contained in the documents are the sole responsibility of the authors. The data used in the descriptions of the documents are in conformity with the systems of the administration of PUC-Rio. |
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Referência(s): |
[pt] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=25814&idi=1 [en] https://www.maxwell.vrac.puc-rio.br/projetosEspeciais/ETDs/consultas/conteudo.php?strSecao=resultado&nrSeq=25814&idi=2 |
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DOI: | https://doi.org/10.17771/PUCRio.acad.25814 | ||||||||||||
Resumo: | |||||||||||||
In the TV industry, leaks of film materials occur frequently when they are distributed among the members of the production team, causing great harm to the companies. In this paper, we propose a tool that allows detecting the source of the leak with a high degree of confidence, using techniques of adaptive steganography. An important requirement is that the information embedded in the video (or image) should resist to processing operations such as resizing and resolution changes. The idea is to use the Speeded Up Robust Features (SURF) algorithm, a well-known strategy for detection and description of images features, to detect the robust regions of the image and insert a small masked identification in them. The tool uses the Haar - Discrete Wavelet Transform in two dimensions and then modifies the image. This dissertation proposes promising initial directions for secure identification of the certificate of origin of digital images and videos.
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