| Abstract |
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Abstract: In this paper we will briefly present the architecture of a public automated evaluation service we are developing for still images, sound and video. We will also detail new tests that will be included in this platform. The set of tests is related to audio data and addresses the usual equalisation and normalisation but also time stretching, pitch shifting and specially designed audio attack algorithms. These attacks are discussed and results on watermark attacks and perceived quality after applying the attacks are provided.
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 Additional Information
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Citation:
Martin Steinebach, Jana Dittmann, Christian Seibel, Lucilla Croce Ferri, Fabien A.P. Petitcolas, Nazim Fates, Caroline Fontaine, Frederic Raynal,
"StirMark Benchmark: Audio Watermarking Attacks,"
itcc,
p. 0049,
International Conference on Information Technology: Coding and Computing (ITCC '01),
2001
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