Public automated web-based evaluation service for watermarking schemes: StirMark benchmark

Fabien A. P. Petitcolas; Martin Steinebach; Frederic Raynal; Jana Dittmann; Caroline Fontaine; Nazim Fates

doi:10.1117/12.435442

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1 August 2001 Public automated web-based evaluation service for watermarking schemes: StirMark benchmark

Fabien A. P. Petitcolas, Martin Steinebach, Frederic Raynal, Jana Dittmann, Caroline Fontaine, Nazim Fates

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Proceedings Volume 4314, Security and Watermarking of Multimedia Contents III; (2001) https://doi.org/10.1117/12.435442
Event: Photonics West 2001 - Electronic Imaging, 2001, San Jose, CA, United States

Abstract

One of the main problems, which darkens the future of digital watermarking technologies, is the lack of detailed evaluation of existing marking schemes. This lack of benchmarking of current algorithms is blatant and confuses rights holders as well as software and hardware manufacturers and prevents them from using the solution appropriate to their needs. Indeed basing long-lived protection schemes on badly tested watermarking technology does not make sense. In this paper we will present the architecture of a public automated evaluation service we have developed for still images, sound and video. We will detail and justify our choice of evaluation profiles, that is the series of tests applied to different types of wa-termarking schemes. These evaluation profiles allow us to measure the reliability of a marking scheme to different levels from low to very high. Beside the known StirMark transformations, we will also detail new tests that will be included in this platform. One of them is intended to measure the real size of the key space. Indeed, if one is not careful, two different watermarking keys may produce interfering watermarks and as a consequence the actual space of keys is much smaller than it appears. Another set of tests is related to audio data and addresses the usual equalisation and normalisation but also time stretching, pitch shifting. Finally we propose a set of tests for fingerprinting applications. This includes: averaging of copies with different fingerprint, random ex-change of part between different copies and comparison between copies with selection of most/less frequently used position differences.

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Fabien A. P. Petitcolas, Martin Steinebach, Frederic Raynal, Jana Dittmann, Caroline Fontaine, and Nazim Fates "Public automated web-based evaluation service for watermarking schemes: StirMark benchmark", Proc. SPIE 4314, Security and Watermarking of Multimedia Contents III, (1 August 2001); https://doi.org/10.1117/12.435442

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