Copyright protection in video distribution systems by using a fast and robust watermarking scheme

Antonio Cedillo-Hernandez, Manuel Cedillo-Hernandez, Francisco Garcia-Ugalde, Mariko Nakano-Miyatake, Hector Perez-Meana

Producción científica: Capítulo del libro/informe/acta de congresoContribución a la conferenciarevisión exhaustiva

1 Cita (Scopus)

Resumen

In this paper we propose a watermarking scheme to ensure copyright protection in video distribution systems. This research is focused on provide a low computational cost solution that allows embedding a robust and imperceptible watermarking signal in the video content, such that the original video transmission rate will not be affected. Our proposal accomplishes this challenge by introducing a fast and effective method based on spatio-temporal Human Visual System properties that allow improving imperceptibility along video sequence and at the same time, enhancing robustness. Extensive experiments were performed to prove that the proposed algorithm satisfies quickness, invisibility and robustness against several real-world video processing issues. The proposed scheme has the advantages of robustness, simplicity and flexibility, allowing it to be considered a good solution in practical situations since it can be adapted to different video distribution systems.

Idioma originalInglés
Título de la publicación alojadaTrends in Applied Knowledge-Based Systems and Data Science - 29th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016, Proceedings
EditoresMoonis Ali, Hamido Fujita, Jun Sasaki, Masaki Kurematsu, Ali Selamat
EditorialSpringer Verlag
Páginas409-421
Número de páginas13
ISBN (versión impresa)9783319420066
DOI
EstadoPublicada - 2016
Evento29th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016 - Morioka, Japón
Duración: 2 ago. 20164 ago. 2016

Serie de la publicación

NombreLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volumen9799
ISSN (versión impresa)0302-9743
ISSN (versión digital)1611-3349

Conferencia

Conferencia29th International Conference on Industrial Engineering and Other Applications of Applied Intelligent Systems, IEA/AIE 2016
País/TerritorioJapón
CiudadMorioka
Período2/08/164/08/16

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