@inbook{72f4d27a3a8b4b2c8090860de5db35c5,
title = "Use of motion estimation to improve video watermarking for MPEG encoders",
abstract = "Maintaining picture quality is an essential requirement for video watermarking, and this paper proposes a new method that uses motion estimation (block-matching techniques) to preferentially allocate watermarks to picture contents with motion based on our criterion for estimating watermark imperceptibility that takes motion into account. Experimental evaluations have shown that the new method significantly reduces degradation in picture quality and that, for the same picture quality after MPEG encoding and decoding, 30% more watermarks can be embedded than with the previous method. This new method would be most effective when implemented in MPEG encoders, which already have the necessary motion estimation functions.",
author = "Isao Echizen and Hiroshi Yoshiura and Yasuhiro Fujii and Satoru Tezuka",
note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",
year = "2004",
doi = "10.1007/978-3-540-24624-4_14",
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 = "184--199",
editor = "Ton Kalker and Cox, {Ingemar J.} and Ro, {Yong Man}",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
}