@inbook{1bfc3b57cd0f497292b804b13a51fcab,
title = "Performance measurement of watermark embedding patterns",
abstract = "Segmented watermarking is an approach to multiple watermarking that can be used to acknowledge the contribution of multiple authors or to embed a fingerprint code word, but is susceptible to cropping attacks that discard portions of the watermarked media. Careful selection of the watermark embedding pattern can increase the resilience of a segmented watermark in the presence of cropping attacks. In this paper, we consider performance measures for embedding patterns and compare the performance of several proposed embedding patterns using these measures.",
author = "Robert Scealy and Reihaneh Safavi-Naini and Sheppard, {Nicholas Paul}",
year = "2004",
doi = "10.1007/978-3-540-24624-4_6",
language = "English",
isbn = "354021061X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer-Verlag",
pages = "77--85",
editor = "Ton Kalker and Cox, {Ingemar J.} and Ro, {Yong Man}",
booktitle = "International Workshop on Digital Watermarking 2023",
}