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Johan De Vriendt

dblp:77/1239 · DBLP profile ↗
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3ranked-venue papers
2as first author
0since 2021 · last 2013
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Artificial intelligence and machine learning · 1 · 1 first-authorComputer networks · 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
Image and video processing · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Image and video processing › image filtering
image derivatives
0.011994
Fast computation of unbiased intensity derivatives in images using separable filters · Int. J. Comput. Vis. 1994
Image and video processing
image filtering
0.011994
Fast computation of unbiased intensity derivatives in images using separable filters · Int. J. Comput. Vis. 1994

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

separable filters · 0.0
YearPublicationVenuePosition
2013 Model for estimating QoE of video delivered using HTTP adaptive streaming
Johan De Vriendt, Danny De Vleeschauwer, David C. Robinson
IM1
1998 The RAINBOW concept for the UMTS access network
abstract
This paper presents an overview of the ACTS project RAINBOW which demonstrates a generic UMTS network architecture which is able to handle different radio access techniques. The approach pursued within the project is to develop a generic interface between the UMTS core network and the radio access parts. The basic concepts of the project are described, as well as the demonstrator built to evaluate these concepts and the services supported. Results from conceptual studies are also provided, which have been undertaken to further explore the project concepts and to evaluate alternative approaches.
Pilar Diaz, Gary Fleming, John Nelson, Johan De Vriendt, Ermanno Berruto
PIMRC4
1994 Fast computation of unbiased intensity derivatives in images using separable filters
Johan De Vriendt
Int. J. Comput. Vis.1