VLDB 2026 Research / reviewers in the wild / expert
Antoine Lorence
dblp:136/1002
· DBLP profile ↗
1ranked-venue papers
0as 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
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.
| Software engineering, system software, and programming languages
1 paper |
Programming languages and type systems · 100% | |
| Computer architecture, parallel and distributed computing, and storage systems
1 paper |
Electronic design automation · 100% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Programming languages and type systems › programming paradigms
dataflow language |
0.2 | 1 | 2013 | Orcc: multimedia development made easy · ACM Multimedia 2013 |
Electronic design automation
hardware/software co-design |
0.2 | 1 | 2013 | Orcc: multimedia development made easy · ACM Multimedia 2013 |
Methods — techniques the papers use, named apart from their topics
multi-target compiler · 0.3dataflow programming · 0.3
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2013 | Orcc: multimedia development made easyabstractIn this paper, we present Orcc, an open-source development environment that aims at enhancing multimedia development by offering all the advantages of dataflow programming: flexibility, portability and scalability. To do so, Orcc embeds two rich eclipse-based editors that provide an easy writing of dataflow applications, a simulator that allows quick validation of the written code, and a multi-target compiler that is able to translate any dataflow program, written in the RVC-CAL language, into an equivalent description in both hardware and software languages. Orcc has already been used to successfully write tens of multimedia applications, such as a video decoder supporting the new High Efficiency Video Coding standard, that clearly demonstrates the ability of the environment to develop complex applications. Moreover, results show scalable performances on multi-core platforms and achieve real-time decoding frame-rate on HD sequences. Hervé Yviquel, Antoine Lorence, Khaled Jerbi, Gildas Cocherel, Alexandre Sanchez, Mickaël Raulet |
ACM Multimedia | 2 |