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H264SVC-wm Source Code | ||||||||||||||||
This is "The Multimedia Signal Processing and Security Lab", short WaveLab, website. We are a research group at the Artificial Intelligence and Human Interfaces (AIHI)
Department of the University of Salzburg led by Andreas Uhl.
Our research is focused on Visual Data Processing and associated security questions. Most of our work is currently concentrated on Biometrics, Media Forensics and
Media Security, Medical Image and Video Analysis, and application oriented fundamental research in digital humanities, individualised aquaculture and sustainable wood
industry.
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Patches against the H.264/SVC JSVM implementation and Python source code for the integrated H.264/SVC
watermarking method proposed in
Abstract: In this paper we investigate robust watermarking integrated with H.264/SVC video coding and address coarse-grain quality and spatial resolution scalability features according to Annex G of the H.264 standard. We show that watermark embedding in the base layer of the video is insufficient to protect the decoded video content when enhancements layers are employed. The problem is mitigated by a propagation technique of the base layer watermark signal when encoding the enhancement layer. In case of spatial resolution scalability, the base layer watermark signal is upsampled to match the resolution of the enhancement layer data. We demonstrate blind watermark detection in the full- and low-resolution decoded video for the same adapted H.264/SVC bitstream and, surprisingly, can report bit rate savings when extending the base layer watermark to the enhancement layer. Test video sequences (352x288, CIF) in bzipped (.bz2) YUV format:
See README for details. The code is available upon request. | ||||||||||||||||
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