Demo Data from VLDB 2026 / reviewers in the wild / expert
Bata Vasic
dblp:75/11268
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 2013
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 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 · 100% | |
| Theoretical computer science
1 paper |
Coding theory · 100% |
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 › watermarking
3d mesh watermarking |
0.2 | 1 | 2013 | Simplification Resilient LDPC-Coded Sparse-QIM Watermarking for 3D-Meshes · IEEE Trans. Multim. 2013 |
Digital forensics and information hiding
watermarking |
0.2 | 1 | 2013 | Simplification Resilient LDPC-Coded Sparse-QIM Watermarking for 3D-Meshes · IEEE Trans. Multim. 2013 |
Coding theory › error-correcting codes › insertion and deletion › insertion-deletion channel
deletion-correcting codes |
0.2 | 1 | 2013 | Simplification Resilient LDPC-Coded Sparse-QIM Watermarking for 3D-Meshes · IEEE Trans. Multim. 2013 |
Coding theory
error-correcting codes |
0.2 | 1 | 2013 | Simplification Resilient LDPC-Coded Sparse-QIM Watermarking for 3D-Meshes · IEEE Trans. Multim. 2013 |
Methods — techniques the papers use, named apart from their topics
quantization index modulation · 0.3LDPC coding · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Simplification Resilient LDPC-Coded Sparse-QIM Watermarking for 3D-MeshesabstractWe propose a blind watermarking scheme for 3D meshes that combines sparse quantization index modulation (QIM) with deletion correction codes. The QIM operates on the vertices in rough concave regions of the surface thus ensuring impeccability, while the deletion correction code recovers the data hidden in the vertices, which is removed by mesh optimization and/or simplification. The proposed scheme offers two orders of magnitude better performance in terms of recovered watermark bit error rate compared to the existing schemes of similar payloads and fidelity constraints. Bata Vasic, Bane Vasic |
IEEE Trans. Multim. | 1 |