Abstract
Several manipulations like copying, editing and diffusing multimedia tracks illegally through the internet and Peer to Peer networks do not represent any challenge even to simple customers but represent a dangerous phenomenon for the software industry. In this paper, the proposed technique consists in embedding a fingerprint, a QR code using an image watermarking and tracing approaches which are applied both on multiprocessor architecture. The proposal has respectively two novelties: using the QR-code as a tracing code provides many advantages as supporting a large amount of information in a compact format, damaging resiliency and addressing problems of computational costs and time of the existing tracing codes during the accusation step. The whole scheme is adapted to be supported by an embedded architecture. The experimental assessments show that the proposed choice has responded to the different requirements of the application.
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Baaouni, J., Choura, H., Chaabane, F., Frikha, T., Baklouti, M. (2022). Design of Multiprocessor Architecture for Watermarking and Tracing Images Using QR Code. In: Czarnowski, I., Howlett, R.J., Jain, L.C. (eds) Intelligent Decision Technologies. Smart Innovation, Systems and Technologies, vol 309. Springer, Singapore. https://doi.org/10.1007/978-981-19-3444-5_10
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