VLDB 2026 Research / reviewers in the wild / expert
Ryan C. Jones
dblp:13/3594
· DBLP profile ↗
1ranked-venue papers
1as first author
0since 2021 · last 1999
—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 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 |
Computational photography and imaging · 44% Multimedia analysis and retrieval · 44% Image and video coding · 13% |
Topics — the 2 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Computational photography and imaging › image stitching
video mosaicing |
0.0 | 1 | 1999 | Building mosaics from video using MPEG motion vectors · ACM Multimedia (2) 1999 |
Multimedia analysis and retrieval
video summarization |
0.0 | 1 | 1999 | Building mosaics from video using MPEG motion vectors · ACM Multimedia (2) 1999 |
Methods — techniques the papers use, named apart from their topics
camera motion estimation · 0.0MPEG motion vector extraction · 0.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 1999 | Building mosaics from video using MPEG motion vectorsabstractIn this paper we present a novel way of creating mosaics from an MPEG video sequence. Two original aspects of our work are that (1) we explicitly compute camera motion between frames and (2) we deduce the camera motion directly from the motion vectors encoded in the MPEG video stream. This enables us to create mosaics more simply and quickly than with other methods. 1 Introduction The mass digitization of video has elevated automated storage and retrieval to a grand challenge. Video sequences can store a vast amount of useful information, but redundancy between individual frames is a problem when analyzing, browsing, or searching video. Presenting the video sequence in a compact manner is a difficult challenge because eliminating redundancy could also eliminate content. The selection of static keyframes to represent a shot sequence is commonly used for indexing as well as for presentation of retrieval results. This technique is insufficient for revealing much of the content in a vide... Ryan C. Jones, Daniel DeMenthon, David S. Doermann |
ACM Multimedia (2) | 1 |