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Proceedings Paper

Cumulant-based image fingerprints
Author(s): Longjiang Yu; Martin Schmucker; Christoph Busch; Shenghe Sun
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Paper Abstract

A fingerprinting is related to cryptographic hash functions. In contrast to cryptographic hash functions this robust digest is sensitive only to perceptual change. Minor changes, which are not affecting the perception, do not result in a different fingerprint. This technique is used in content-based retrieval, content monitoring, and content filtering. In this paper we present a cumulant-based image fingerprinting method. Cumulants are typically used in signal processing and image processing, e.g. for blind source separation or Independent Component Analysis (ICA). From an image with reduced dimensions we calculate cumulants as an initial feature vector. This feature vector is transformed into an image fingerprint. The theoretical advantages of cumulants are verified in experiments evaluating robustness (e.g. against operations like lossy compression, scaling and cropping) and discriminability. The results show an improved performance our method in comparison to existing methods.

Paper Details

Date Published: 21 March 2005
PDF: 8 pages
Proc. SPIE 5681, Security, Steganography, and Watermarking of Multimedia Contents VII, (21 March 2005); doi: 10.1117/12.587708
Show Author Affiliations
Longjiang Yu, Harbin Institute of Technology (China)
Martin Schmucker, Fraunhofer-Institut fur Graphische Datenverarbeitung (Germany)
Christoph Busch, Fraunhofer-Institut fur Graphische Datenverarbeitung (Germany)
Shenghe Sun, Harbin Institute of Technology (China)

Published in SPIE Proceedings Vol. 5681:
Security, Steganography, and Watermarking of Multimedia Contents VII
Edward J. Delp; Ping W. Wong, Editor(s)

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