Paper Info
Title
A Public Automated Web-Based Evaluation Service For Watermarking Schemes: Stirmark Benchmark
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 watermarking 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 exchange of part between different copies and comparison between copies with selection of most/less frequently used position differences.
Year
DOI
Venue
2001
10.1117/12.435442
SECURITY AND WATERMARKING OF MULTIMEDIA CONTENTS III
Keywords
Field
DocType
digital watermarking,computer hardware,reliability,digital watermark,video,algorithms,fingerprint recognition
Data mining,Digital watermarking,Audio time-scale/pitch modification,Fingerprint recognition,Computer science,Computer security,Software,Artificial intelligence,Systems architecture,Web application,Benchmarking,Key space,Computer vision
Conference
Volume
ISSN
Citations 
4314
0277-786X
46
PageRank 
References 
Authors
2.39
4
6
Name
Order
Citations
PageRank
Petitcolas, Fabien A.P.11910239.01
Martin Steinebach232672.57
Frédéric Raynal311816.35
Jana Dittmann41416221.92
caroline fontaine58910.82
Nazim Fatès621225.31