EDBT 2026 Demo / reviewers in the wild / expert
János István Iván
dblp:19/8692
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2010
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Graphics, computer vision, multimedia, augmented reality and games · 1
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 |
Image and video processing · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
GPUs and heterogeneous computing · 67% Parallel and multicore computing · 33% |
Topics — the 3 heaviest of 4, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
GPUs and heterogeneous computing
GPU computing |
0.0 | 1 | 2010 | The openip open source image processing library · ACM Multimedia 2010 |
GPUs and heterogeneous computing › heterogeneous programming models
OpenCL |
0.0 | 1 | 2010 | The openip open source image processing library · ACM Multimedia 2010 |
Parallel and multicore computing › parallel programming models › directive-based programming
OpenMP parallelization |
0.0 | 1 | 2010 | The openip open source image processing library · ACM Multimedia 2010 |
Methods — techniques the papers use, named apart from their topics
assembler optimization · 0.2OpenMP · 0.2OpenCL · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | The openip open source image processing libraryabstractThe openIP open source image processing library is a set of c++ libraries providing tools for education, research and industrial purposes. The aim of the development is to fill in the gap between the academic and commercial utilization of image processing. The openIP libraries are interoperable, open source and easy to install. To provide fast codes, assembler optimization, OpenMP parallelization and OpenCL based GPU utilization is integrated. György Kovács 0002, János István Iván, Árpád Pányik, Attila Fazekas |
ACM Multimedia | 2 |