Demo Data from EDBT 2026 / reviewers in the wild / expert
Amirhossein Firouzmanesh
dblp:92/9956
· DBLP profile ↗
2ranked-venue papers
1as first author
0since 2021 · last 2015
0000-0002-4342-2532ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 2 · 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.
| Computer graphics and multimedia
1 paper |
Computer animation and physical simulation · 50% Image and video coding · 50% | |
| Human-computer interaction and pervasive computing
1 paper |
Immersive interaction · 100% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computer animation and physical simulation › motion capture
motion capture data compression |
0.1 | 1 | 2011 | Perceptually Guided Fast Compression of 3-D Motion Capture Data · IEEE Trans. Multim. 2011 |
Image and video coding › image compression
perceptual image compression |
0.1 | 1 | 2011 | Perceptually Guided Fast Compression of 3-D Motion Capture Data · IEEE Trans. Multim. 2011 |
Methods — techniques the papers use, named apart from their topics
wavelet transform · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2015 | Perceptually motivated LSPIHT for motion capture data compression
Irene Cheng 0001, Amirhossein Firouzmanesh, Anup Basu |
Comput. Graph. | 2 |
| 2011 | Perceptually Guided Fast Compression of 3-D Motion Capture DataabstractA time efficient compression technique, incorporating attention stimulating factors, for motion capture data is proposed. Compression ratios of 25:1 to 30:1 can be achieved with very little noticeable degradation in perceptual quality of animation. Experimental analysis shows that the proposed algorithm is much faster than comparable approaches using wavelets, thereby making our approach feasible for motion capture, transmission, and real-time synthesis on mobile devices, where processing power and memory capacity are limited. Amirhossein Firouzmanesh, Irene Cheng 0001, Anup Basu |
IEEE Trans. Multim. | 1 |