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Jennifer Carré

dblp:136/1008 · DBLP profile ↗
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2ranked-venue papers
0as first author
0since 2021 · last 2016
—ORCID · none

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

Graphics, computer vision, multimedia, augmented reality and games · 2

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.

Interdisciplinary, comprehensive, and emerging computing
1 paper
Bioinformatics and computational biology · 100%
Databases, data mining, and information retrieval
1 paper
Data mining · 100%
Computer graphics and multimedia
1 paper
Multimedia analysis and retrieval · 100%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Bioinformatics and computational biology › plant biology
plant species identification
0.212013
Pl@ntNet mobile app · ACM Multimedia 2013
Data mining › crowdsourcing
crowdsourced data
0.012013
Pl@ntNet mobile app · ACM Multimedia 2013
Multimedia analysis and retrieval
image retrieval
0.012013
Pl@ntNet mobile app · ACM Multimedia 2013

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

content-based image retrieval · 0.5collaborative workflow · 0.5
YearPublicationVenuePosition
2016 A look inside the Pl@ntNet experience - The good, the bias and the hope
Alexis Joly, Pierre Bonnet, Hervé Goëau, Julien Barbe, Souheil Selmi, Julien Champ, Samuel Dufour-Kowalski, Antoine Affouard, Jennifer Carré, Jean-François Molino, Nozha Boujemaa, Daniel Barthélémy
Multim. Syst.9
2013 Pl@ntNet mobile app
abstract
[email protected] is an image sharing and retrieval application for the identification of plants, available on iPhone and iPad devices. Contrary to previous content-based identification applications it can work with several parts of the plant including flowers, leaves, fruits and bark. It also allows integrating user's observations in the database thanks to a collaborative workflow involving the members of a social network specialized on plants. Data collected so far makes it one of the largest mobile plant identification tool.
Hervé Goëau, Pierre Bonnet, Alexis Joly, Vera Bakic, Julien Barbe, Itheri Yahiaoui, Souheil Selmi, Jennifer Carré, Daniel Barthélémy, Nozha Boujemaa, Jean-François Molino, Grégoire Duché, Aurélien Péronnet
ACM Multimedia8