Practical Challenges for Digital Watermarking Applications

Sharma, Ravi K.; Decker, Steve

doi:10.1155/s1110865702000574

Cited by 6 publications

(3 citation statements)

References 7 publications

(7 reference statements)

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“…"Dungeons and Dragons" and "Magic the Gathering" are specific examples of where physical card decks are collected and are difficult to play across an Internet link. • Security devices that use orientation as well as authentication information as protection • Toys [3] that use or teach dexterity to children to provide more interaction than simply links. Examples include interactive puzzles that are assembled by using a camera to project the pieces on the screen, and picture books that when viewed through a camera come to life and provide interactions with the user.…”

Section: Man-machine Interfacementioning

confidence: 99%

Machine vision applications of digital watermarking

Stach

2004

SPIE Proceedings

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In the realm of digital watermarks applied to analog media, publications have mostly focused on applications such as document authentication, security, and links where synchronization is merely used to read the payload. In recent papers, we described issues associated with the use of inexpensive cameras to read digital watermarks [5], and we have discussed product development issues associated with the use of watermarks for several applications [3.4.6]. However, the applications presented in these papers also have been focused on the detection and use of the watermark payload as the critical technology. In this paper, we will extend those ideas by examining a wider range of analog media such as objects and surfaces and by examining machine vision applications where the watermark synchronization method (i.e., synchronizing the watermark orientation so that a payload can be extracted) and the design characteristics of the watermark itself are as critical to the application as recovering the watermark payload. Some examples of machine vision applications that could benefit from digital watermarking technology are autonomous navigation, device and robotic control, assembly and parts handling, and inspection and calibration systems for nondestructive testing and analysis. In this paper, we will review some of these applications and show how combining synchronization and payload data can significantly enhance and broaden many machine vision applications.

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Section: Man-machine Interfacementioning

confidence: 99%

Machine vision applications of digital watermarking

Stach

2004

SPIE Proceedings

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“…Other applications for DA/AD robust watermarking schemes include portable audio monitoring devices that could be used to automatically created cue lists from radio stations [1] or music clubs. The controlled toy concept of Digimarc [2] also requires robustness to microphone recordings.…”

Section: Motivationmentioning

confidence: 99%

Audio watermarking quality evaluation: robustness to DA/AD processes

Steinebach¹,

Lang²,

Dittmann³

et al. 2002

Proceedings. International Conference on Information Technology: Coding and Computing

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Audio watermarking has become an important technology for the recording and advertisement industry. Today's embedding and detection strategies often rely on digital / high quality channels, like CD or mp3. However for numerous applications, watermarks surviving noisy analog environments are better suited or even required. Using such schemes allows to identify audio signals with monitoring devices which are 'listening' to the incoming signals. In the same way, illegal recordings of concerts can be identified. In this paper we describe a test environment for noisy, acoustic, (analog) channels and present results obtained from a particular watermarking scheme. We identify changes in the affected audio material, like frequency response or the amount of noise added to the signal. In order to do automatic robustness evaluations of watermarking schemes, the Stirmark Benchmark environment can be used. We analyze if it is possible to simulate an acoustic, noisy DA/AD environment with filters, quantization and noise generators. Based on the presented test results, we identify the parameters relevant for watermarks to successfully survive noisy acoustic channels and thereby provide valuable hints for audio watermark designers. We also describe a design concept for a DA/AD simulation.

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“…Digimarc has a continuing interest in promoting the development and use of watermarking technologies 3,4,5 . As watermarking products become more ubiquitous, the range of applications and the public and business acceptance and understanding of the technology will provide an environment for an expanding market for all participants.…”

Section: Introductionmentioning

confidence: 99%

<title>Use of web cameras for watermark detection</title>

et al. 2002

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Many articles covering novel techniques, theoretical studies, attacks, and analyses have been published recently in the field of digital watermarking. In the interest of expanding commercial markets and applications of watermarking, this paper is part of a series of papers from Digimarc on practical issues associated with commercial watermarking applications. In this paper we address several practical issues associated with the use of web cameras for watermark detection. In addition to the obvious issues of resolution and sensitivity, we explore issues related to the tradeoff between gain and integration time to improve sensitivity, and the effects of fixed pattern noise, time variant noise, and lens and Bayer pattern distortions. Furthermore, the ability to control (or at least determine) camera characteristics including white balance, interpolation, and gain have proven to be critical to successful application of watermark readers based on web cameras. These issues and tradeoffs are examined with respect to typical spatial-domain and transform-domain watermarking approaches.

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Practical Challenges for Digital Watermarking Applications

Cited by 6 publications

References 7 publications

Machine vision applications of digital watermarking

Machine vision applications of digital watermarking

Audio watermarking quality evaluation: robustness to DA/AD processes

<title>Use of web cameras for watermark detection</title>

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