Call for Papers
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)
https://www.imageclef.org/2020/lifelog 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
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) https://www.imageclef.org/2020/coral
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)
https://www.imageclef.org/2020/medical 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
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
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