EDBT 2026 Demo / reviewers in the wild / expert
María del Mar Martín
dblp:268/7855
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2022
—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 since 2021
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 |
Rendering · 56% Virtual and augmented reality · 44% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Rendering › image-based rendering
depth-image-based rendering |
0.6 | 1 | 2022 | FVV Live: A Real-Time Free-Viewpoint Video System With Consumer Electronics Hardware · IEEE Trans. Multim. 2022 |
Virtual and augmented reality › immersive video
free-viewpoint video |
0.6 | 1 | 2022 | FVV Live: A Real-Time Free-Viewpoint Video System With Consumer Electronics Hardware · IEEE Trans. Multim. 2022 |
Rendering
novel view synthesis |
0.2 | 1 | 2022 | FVV Live: A Real-Time Free-Viewpoint Video System With Consumer Electronics Hardware · IEEE Trans. Multim. 2022 |
Methods — techniques the papers use, named apart from their topics
subjective assessment · 0.6depth-image-based rendering · 0.6
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2022 | FVV Live: A Real-Time Free-Viewpoint Video System With Consumer Electronics HardwareabstractFVV Live is a novel end-to-end free-viewpoint video system, designed for real-time operation, using consumer-grade cameras and hardware, which enables low deployment costs and easy installation for immersive event-broadcasting or videoconferencing. All the blocks of the system have been designed to maximize perceptual video quality, overcoming the limitations imposed by hardware and network, which impact directly the accuracy of depth data and thus the quality of virtual view synthesis. Therefore, it does not sacrifice perceptual video quality with respect to high-end counterparts. The results presented in this paper correspond to an implementation with nine stereo-based depth cameras. However, the design of the acquisition block of FVV Live allows scalability for an arbitrary number of cameras. In addition, FVV Live presents low motion-to-photon and end-to-end delays, which enables a responsive free-viewpoint navigation and bilateral immersive communications. Moreover, the visual quality of FVV Live has been assessed through subjective assessment with satisfactory results, and additional comparative tests show that it is preferred over state-of-the-art DIBR alternatives. Pablo Carballeira, Carlos Carmona, César Díaz, Daniel Berjón, Daniel Corregidor, Julián Cabrera, Francisco Morán, Carmen Doblado, Sergio Arnaldo, María del Mar Martín, Narciso García |
IEEE Trans. Multim. | 10 |