Demo Data from VLDB 2026 / reviewers in the wild / expert
Marco Stolf
dblp:92/6852
· DBLP profile ↗
2ranked-venue papers
0as first author
0since 2021 · last 2001
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Databases, data management, data science and information retrieval · 2
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 |
Multimedia systems and quality of experience · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Multimedia systems and quality of experience › multimedia presentation
multimedia presentation generation |
0.0 | 1 | 2000 | MPGS: An Interactive Tool for the Specification and Generation of Multimedia Presentations · IEEE Trans. Knowl. Data Eng. 2000 |
Methods — techniques the papers use, named apart from their topics
constraint satisfaction · 0.0consistency checking · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2001 | Correction to 'MPGS: An Interactive Tool for the Specification and Generation of Multimedia Presentations'
Elisa Bertino, Elena Ferrari 0001, Marco Stolf |
IEEE Trans. Knowl. Data Eng. | 3 |
| 2000 | MPGS: An Interactive Tool for the Specification and Generation of Multimedia PresentationsabstractMultimedia presentations are composed of objects belonging to different data types such as video, audio, text and image. An important aspect is that, quite often, the user defining a presentation needs to express sophisticated temporal and spatial constraints among the objects composing the presentation. We present a system (called MPGS-Multimedia Presentation Generator System) which supports the specification of constraints among multimedia objects and the generation of multimedia presentations according to the specified constraints. The constraint model provided by MPGS is very flexible and powerful in terms of the kinds of object constraints it can represent. A large number of innovative features are supported including: asynchronous and simultaneous spatial constraints; components of interest and priority levels; motion functions. Obviously, the flexibility provided to the users requires the development of nontrivial techniques to check constraint consistency and to generate a presentation satisfying the specified constraints. We illustrate the solutions we have devised in the framework of MPGS. Elisa Bertino, Elena Ferrari 0001, Marco Stolf |
IEEE Trans. Knowl. Data Eng. | 3 |