Demo Data from EDBT 2026 / reviewers in the wild / expert
James D. Lynch 0001
dblp:80/8117
· DBLP profile ↗
2ranked-venue papers
1as 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 · 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 |
Visualization and visual analytics · 44% Computational photography and imaging · 44% Virtual and augmented reality · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Visualization and visual analytics
interactive visualization |
0.1 | 1 | 2010 | A multimedia approach to visualize and interact with large scale mobile LiDAR data · ACM Multimedia 2010 |
Virtual and augmented reality › navigation
3d navigation |
0.0 | 1 | 2010 | A multimedia approach to visualize and interact with large scale mobile LiDAR data · ACM Multimedia 2010 |
Methods — techniques the papers use, named apart from their topics
viewpoint-based rendering · 0.1real-time data paging · 0.1
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2010 | A multimedia approach to visualize and interact with large scale mobile LiDAR dataabstractThis paper presents a multimedia visualization tool for large-scale mobile LIDAR, panoramic imagery, high-resolution view targeted camera imagery, and GPS/IMU geo-location. A first of its kind system joins all sensor data providing a powerful tool for evaluation, validation, analysis and annotation. The viewer computes necessary real-time structures on the fly, which enables the user to view and annotate the entire dataset interactively. A viewpoint based multimedia integration of vehicle centerline map, video imagery, and LIDAR are displayed for navigation. The viewer automatically determines when to page data sets and which type of data to display. The user is able to measure and tag real world objects in 3D. A typical graphics card is capable of interactively presenting half terabyte data sets by intelligently controlling the timing and volume of data loading. James D. Lynch 0001, Roger B. Hui |
ACM Multimedia | 1 |
| 2009 | Towards next-generation map makingabstractIn this paper, we present the image retrieval and computer vision applications implemented for massive mobile image data collection at NAVTEQ. This novel and comprehensive mobile data collection method captures ground level imageries around the world. Automatic image analysis and modeling provides NAVTEQ with next-generation map making capabilities. This allows NAVTEQ to exceed customers' expectations by creating and maintaining digital maps that are more timely, complete, accurate, and which contain richer content. Matei Stroila, James D. Lynch 0001, Narayanan Alwar, Brad Kohlmeyer, Jeff Bach, Roger B. Hui |
ICME | 3 |