CamMark : a camcorder copy simulation as watermarking benchmark for digital video


Schaber, Philipp ; Kopf, Stephan ; Wesch, Christoph ; Effelsberg, Wolfgang



DOI: https://doi.org/10.1145/2557642.2557644
URL: http://dl.acm.org/citation.cfm?doid=2557642.255764...
Weitere URL: https://www.researchgate.net/publication/261960749...
Dokumenttyp: Konferenzveröffentlichung
Erscheinungsjahr: 2014
Buchtitel: Proceedings of the 5th ACM Multimedia Systems Conference (MMSys '14) : Singapore, March 19 - 21, 2014
Seitenbereich: 91-102
Veranstaltungstitel: ACM Multimedia Systems 2014
Veranstaltungsort: Singapore
Veranstaltungsdatum: 19.03.2014
Ort der Veröffentlichung: New York, NY
Verlag: ACM
ISBN: 978-1-4503-2705-3
Sprache der Veröffentlichung: Englisch
Einrichtung: Fakultät für Wirtschaftsinformatik und Wirtschaftsmathematik > Praktische Informatik IV (Effelsberg 1989-2017)
Fachgebiet: 004 Informatik
Freie Schlagwörter (Englisch): Digital watermarking , camcorder copy , video watermarking benchmark , geometric distortion , frame blending , automatic gain control , automatic white balance , BayerCFA
Abstract: In 1998, Petitcolas et al. proposed StirMark as a benchmark for image watermarking schemes. The main idea was to introduce a re-sampling process that mimics the analog process of printing and scanning a watermarked image. For digital video, the corresponding concept is a camcorder copy, where a video displayed on a screen is (digitally) recorded using a video camera. As most commercial video streaming systems (VOD, IPTV) and offline distribution (Blu-ray, HDDs for cinemas) are strongly protected by means of DRM, filming a display is actually a relevant use case and a requirement for robust video watermarking systems to survive. We therefore present a tool to simulate content re-acquisition with a camcorder. Our goal is to support watermark development by enabling automated test cases for such camcorder copy attacks, as well as to provide a benchmark for robust video watermarking. Manually creating camcorder copies is a cumbersome process, and even more problematic, it is hardly reproducible with the same setup. By re-sampling each video frame, we simulate the typical artifacts of a camcorder copy: geometric modifications (aspect ratio changes, cropping, perspective and lens distortion), temporal modifications (unsynchronized frame rates and the resulting frame blending), sub-sampling (rescaling, filtering, Bayer color array filter), and histogram changes (AGC, AWB). We also support simulating camera movement (e.g., a hand-held camera) and background insertion.




Dieser Eintrag ist Teil der Universitätsbibliographie.




Metadaten-Export


Zitation


+ Suche Autoren in

+ Aufruf-Statistik

Aufrufe im letzten Jahr

Detaillierte Angaben



Sie haben einen Fehler gefunden? Teilen Sie uns Ihren Korrekturwunsch bitte hier mit: E-Mail


Actions (login required)

Eintrag anzeigen Eintrag anzeigen