[visionlist] 3rd Call-for-Participation & testset release: ImageCLEF 2020 Tasks
bogdanlapi at gmail.com
Wed Apr 1 12:28:05 -04 2020
[Apologies for multiple postings]
Multimedia Retrieval in CLEF
*** CALL FOR PARTICIPATION ***
ImageCLEF 2020 is an evaluation campaign that is being organized as
part of the CLEF (Conference and Labs of the Evaluation Forum) labs.
The campaign offers several research tasks that welcome participation
from teams around the world.
The results of the campaign appear in the working notes proceedings,
published by CEUR Workshop Proceedings (CEUR-WS.org) and are presented
in the CLEF conference. Selected contributions among the participants
will be invited for submission to a special section "Best of CLEF'20
Labs" in the Springer Lecture Notes in Computer Science (LNCS) of
CLEF'21, together with the annual lab overviews.
Target communities involve (but are not limited to):
- information retrieval (text, vision, audio, multimedia, social
media, sensor data, etc.)
- machine learning, deep learning
- data mining
- natural language processing
- image and video processing
- computer vision
with special attention to the challenges of multi-modality,
multi-linguality, and interactive search.
*** 2020 TASKS ***
*ImageCLEFlifelog* (4th edition)
An increasingly wide range of personal devices that allow capturing
pictures, videos, and audio clips for every moment of our lives, are
becoming available. In this context, the task addresses the problems
of lifelogging data retrieval and summarization.
Organizers: Duc-Tien Dang-Nguyen (University of Bergen), Van-Tu Ninh,
Tu-Khiem Le, Liting Zhou & Cathal Gurrin (Dubin City University), Luca
Piras (Pluribus One & University of Cagliari), Michael Riegler & Pål
Halvorsen (SimulaMet), Minh-Triet Tran (University of Science),
Mathias Lux (Klagenfurt University).
*ImageCLEFcoral* (2nd edition)
The increasing use of structure-from-motion photogrammetry for
modelling large-scale environments from action cameras has driven the
next generation of visualization techniques. The task addresses the
problem of automatically segmenting and labeling a collection of
images that can be used in combination to create 3D models for the
monitoring of coral reefs.
Organizers: Jon Chamberlain, Adrian Clark & Alba García Seco de
Herrera (University of Essex), Antonio Campello (Wellcome Trust).
*ImageCLEFmedical* (2nd edition)
Medical images can be used in a variety of scenarios and this task
will combine the most popular medical tasks of ImageCLEF and continue
the last year idea of combining various applications, namely:
automatic image captioning and scene understanding, medical visual
question answering and decision support on tuberculosis. This allows
to explore synergies between the tasks.
Organizers: Asma Ben Abacha & Dina Demner-Fushman (National Library of
Medicine), Sadid A. Hasan (CVS Health), Vivek Datla & Joey Liu
(Philips Research Cambridge), Obioma Pelka & Christoph M. Friedrich
(University of Applied Sciences and Arts Dortmund), Alba García Seco
de Herrera (University of Essex), Yashin Dicente Cid (University of
Warwick), Serge Kozlovski, Vitali Liauchuk & Vassili Kovalev (United
Institute of Informatics Problems), Henning Müller (HES-SO).
Enabling people to create websites by drawing them on a piece of paper
can make the webpage building process more accessible. The task
addresses the problem of automatically recognizing hand drawn objects
representing website UIs, that will be further translated into
automatic website code.
Organizers: Paul Brie & Fichou Dimitri (teleportHQ), Mihai Dogariu,
Liviu Daniel Stefan, Mihai Gabriel Constantin & Bogdan Ionescu
(University Politehnica of Bucharest).
*** IMPORTANT DATES ***
(may vary depending on the task)
- Task registration opens: December 20, 2019
- CLEF long and short paper submission: April 27, 2020
- Run submission: May 11, 2020
- Working notes submission: May 25, 2020
- CLEF 2020 conference: September 22-25, Thessaloniki, Greece
*** OVERALL COORDINATION ***
Bogdan Ionescu, University Politehnica of Bucharest, Romania
Henning Müller, HES-SO, Sierre, Switzerland
Renaud Péteri, University of La Rochelle, France
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