Demo Data from EDBT 2026 / reviewers in the wild / expert
Bodo Yann
dblp:64/2573
· DBLP profile ↗
2ranked-venue papers
2as first author
0since 2021 · last 2003
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2 · 2 first-author
Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.
| Network and information security
1 paper |
Digital forensics and information hiding · 75% Cryptographic primitives and cryptanalysis · 25% |
Topics — the 4 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Digital forensics and information hiding
information hiding |
0.0 | 1 | 2002 | A scrambling method based on disturbance of motion vector · ACM Multimedia 2002 |
Cryptographic primitives and cryptanalysis › encryption › multimedia encryption
video scrambling |
0.0 | 1 | 2002 | A scrambling method based on disturbance of motion vector · ACM Multimedia 2002 |
Digital forensics and information hiding › watermarking › multimedia watermarking
video watermarking |
0.0 | 1 | 2002 | A scrambling method based on disturbance of motion vector · ACM Multimedia 2002 |
Digital forensics and information hiding
watermarking |
0.0 | 1 | 2002 | A scrambling method based on disturbance of motion vector · ACM Multimedia 2002 |
Methods — techniques the papers use, named apart from their topics
motion vector disturbance · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2003 | Watermarking video, hierarchical embedding in motion vectorsabstractThis paper proposes a new video watermarking scheme based on a hierarchical motion analysis, that is robust against classical video processing (filtering, lossy compression...). This model works in the uncompressed domain and disturbs the motion vectors computed by an exhaustive BMA on blocks of size n*n in order to insert an invisible watermark enabling a protection against most attacks. Finally, to increase the robustness, our system inserts the mark by generating a hierarchy of motion vectors of size N*N with N=k*n to spread the mark on the lower level associated to block n*n. Bodo Yann, Nathalie Laurent, Jean-Luc Dugelay |
ICIP (2) | 1 |
| 2002 | A scrambling method based on disturbance of motion vectorabstractMultimedia data security is very important for multimedia commerce on the Internet such as "pay-per-view" services. Thus, watermarking algorithms for data security appear. These algorithms describe methods and technologies that allow information to be hidden, for example a number or text, into a media, such as images, video, audio files... In this paper, we propose a new application of watermarking based on a scrambling process. In this application, we develop a waterscrambling technique in which video data are scrambled efficiently by disturbing a subset of motion vectors. The interest of this approach is its ability to scramble a video while maintaining a certain visibility. Effectively it permits the use of considerable levels of security in order to choose the level of perceptibility of the video. By using watermarking techniques we will be able to combine this approach with a classical copyright watermarking system. Bodo Yann, Nathalie Laurent, Jean-Luc Dugelay |
ACM Multimedia | 1 |