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Subject: ImageCLEF 2019 Lifelog Task - Call for participation

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We cordially invite you to participate in the 3rd edition of the Lifelog Task, (https://www.imageclef.org/2019/lifelog <https://www.imageclef.org/2019/lifelog>). ImageCLEF is one of the labs of CLEF 2019 (http://clef2019.clef-initiative.eu <http://clef2019.clef-initiative.eu/>), which will be held in Lugano, Switzerland (09-12 September 2019)

An increasingly wide range of personal devices, such as smartphones, video cameras as well as wearable devices that allow capturing pictures, videos, and audio clips for every moment of our lives are becoming available. Considering the huge volume of data created, there is a need for systems that can automatically analyse the data in order to categorize, summarize and also query to retrieve the information the user may need.

Despite the increasing number of successful related workshops and panels in the last years lifelogging has seldom been the subject of a rigorous comparative benchmarking exercise. This task aims to bring the attention of lifelogging to an as wide as possible audience and to promote research into some of the key challenges of the coming years.

The task addresses the problems of lifelogging moment retrieval and daily living activities understanding and it is divided in two subtasks based on the same large and completely new multimodal dataset which consists of 90 days of data: images, visual concepts, semantic content based on sensor readings on mobile devices, biometrics information, music listening history, computer usage, etc..


SubTask 1:Solve my life puzzle (Puzzle)
Given a period of time, e.g., "From 13 August to 16 August" or "Every Saturday", the participants should analyse the lifelog data and provide a summarisation based on the selected concepts (provided by the task organizers) of Activities of Daily Living (ADL) and the environmental settings / contexts in which these activities take place.

SubTask 2: Lifelog moment retrieval (LMRT)
This sub-task follows the success of the LMRT sub-task in ImageCLEFlifelog2018 with some minor adjustments. The participants have to retrieve a number of specific predefined activities in a lifelogger's life. For example, they should return the relevant moments for the query “Find the moment(s) when I was shopping”. Particular attention should be paid to the diversification of the selected moments with respect to the target scenario. The ground truth for this subtask was created using manual annotation.

The participants will have a chance to submit a paper describing their system, which will be published in the CLEF Labs Working Notes. Furthermore, the groups of the best performing systems will be invited to give an oral presentation at CLEF 2019 and others will be given the option of presenting a poster.


For more details on the task please visit https://www.imageclef.org/2019/lifelog <https://www.imageclef.org/2019/lifelog> and https://www.crowdai.org/challenges/imageclef-2019-lifelog-lmrt <https://www.crowdai.org/challenges/imageclef-2019-lifelog-lmrt> / https://www.crowdai.org/challenges/imageclef-2019-lifelog-puzzle <https://www.crowdai.org/challenges/imageclef-2019-lifelog-puzzle>


Schedule:
05.11.2018: Registration opened
26.11.2018: Development data released
18.03.2019: Test data release
26.04.2019: Registration closes
01.05.2019 : Deadline for submission of runs by the participants 11:59:59 PM GMT.
17.05.2019: Release of processed results by the task organizers.
24.05.2019: Deadline for submission of working notes papers by the participants
14.06.2019: Notification of acceptance of the working notes papers.
28.06.2019: Camera ready working notes papers.
09.-12.09.2019: CLEF 2019, Lugano, Switzerland


Organizers
- Duc-Tien Dang-Nguyen, University of Bergen, Norway ([log in to unmask] <mailto:[log in to unmask]>)
- Luca Piras, University of Cagliari, Italy ([log in to unmask] <mailto:[log in to unmask]>)
- Michael Riegler, University of Oslo, Norway ([log in to unmask] <mailto:[log in to unmask]>)
- Minh-Triet Tran, University of Science, Ho Chi Minh City, Vietnam ([log in to unmask] <mailto:[log in to unmask]>)
- Mathias Lux, Klagenfurt University, Austria ([log in to unmask] <mailto:[log in to unmask]>)
- Cathal Gurrin, Dublin City University, Ireland ([log in to unmask] <mailto:[log in to unmask]>)





Luca Piras - Ph. D.
PRA - Pattern Recognition and Applications Lab
Department of Electrical and Electronic Engineering
University of Cagliari
Piazza d'Armi, 09123 Cagliari - Italy
Tel.  +39 070 675 5776 Fax +39 070 675 5782
Web: http://pralab.diee.unica.it/en/LucaPiras <http://pralab.diee.unica.it/en/LucaPiras>





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