Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page
Demo Data from EDBT 2026 / reviewers in the wild / expert

Andrea Mariotta

dblp:38/8692 · DBLP profile ↗
← Back
1ranked-venue papers
0as 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 · 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.

Computer graphics and multimedia
1 paper
Multimedia analysis and retrieval · 67% Image and video processing · 33%
Human-computer interaction and pervasive computing
1 paper
Interaction techniques and input · 100%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing › document image analysis
document image recognition		 0.112010
Visual search applications for connecting published works to digital material · ACM Multimedia 2010
Multimedia analysis and retrieval › visual search
mobile visual search		 0.112010
Visual search applications for connecting published works to digital material · ACM Multimedia 2010
Multimedia analysis and retrieval
visual search		 0.112010
Visual search applications for connecting published works to digital material · ACM Multimedia 2010
Interaction techniques and input
mobile interaction		 0.012010
Visual search applications for connecting published works to digital material · ACM Multimedia 2010

Methods — techniques the papers use, named apart from their topics

image recognition · 0.2client-server architecture · 0.2
YearPublicationVenuePosition
2010 Visual search applications for connecting published works to digital material
abstract
Visual search connects physical (offline) objects with (online) digital media. Using objects from the environment, like newspapers, magazines, books and posters, we can retrieve supplemental information from the online world. In this demonstration, we show a framework for delivering visual search services to users of mobile devices. We show how users can point a mobile device at any location in a document, magazine or book to view related, online material on the device. We describe client applications now being deployed for the iPhone and the server architecture used for recognition of scanned images.
Jamey Graham, Jorge Moraleda, Jonathan J. Hull, Timothée Bailloeul, Andrea Mariotta
 ACM Multimedia6