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Erschienen in:
2012 | OriginalPaper | Buchkapitel
Supervised Biometric System Using Multimodal Compression Scheme
verfasst von : Wafa Chaabane, Régis Fournier, Amine Naït-ali, Julio Jacobo, Marta Mejail, Marcelo Mottalli, Heitor Ramos, Alejandro C. Frery, Leonardo Viana
Erschienen in: Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
Verlag: Springer Berlin Heidelberg
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This work is a part of a project supported by STIC Am-Sud where the main objective is to design an intelligent vision system to protect children from some critical information accessible from the Internet, from some videos or from some video games that are related to violence, wars, pornography, etc. Considered definitively not appropriate for their age, such multimedia contains can significantly offend young people. More specifically, in this paper, we are interested in discussing a general concept of a supervised biometric system that is controlled by specific tags embedded in video frames through a multimodal compression. Using a spiral insertion scheme, specific frequencies (TAGs) are compressed jointly with video frames in the region of insertion and then extracted for supervision purpose. The multimodal compression is considered here because it allows high-level robustness regarding the bitrates and down-sampling.