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ImageCLEF 2019 Lifelog - Puzzle

Solve my life puzzle



Note: ImageCLEF Lifelog 2019 is divided into 2 subtasks (challenges). This challenge is about the Puzzle task. For information on the Lifelog moment retrieval (LMRT) challenge click here . Both challenges share the same dataset, so registering for one of these challenges will automatically give you access to the other one.

Note: Do not forget to read the Rules section on this page.


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 ( JCDL 2015 , iConf 2016 , ACM MM 2016 , ACM MM 2017 , ICMR 2018 ) lifelogging has seldom been the subject of a rigorous comparative benchmarking exercise as, for example, the new lifelog evaluation task at NTCIR-13 or the last editions of the ImageCLEFlifelog task. In this edition of this task we aim 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.

Challenge description

Solve my life puzzle. Given a set of lifelog images with associated metadata (e.g., biometrics, location, etc.), but no timestamps, the participants need to analyse these images and rearrange them in chronological order and predict the correct day (Monday or Sunday) and part of the day (morning, afternoon, or evening). The dataset will be arranged in 75% training and 25% test data.


  • 05.11.2018: Registration opens
  • 26.11.2018: Development data release
  • 18.03.2019: Test data release
  • 26.04.2019: Registration closes
  • 01.05.201915.05.2019: 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
  • 07.02.2019: Development queries released and task descriptions revised!
  • 21.03.2019: Test data is delayed to be released by 31.03.2019
  • 29.04.2019: Deadline of CrowAI submission has been postponed to May 15th at 12:00 UTC


The task will be split into two related subtasks using a completely new rich multimodal dataset which consists of 29 days of data from one lifelogger, namely: images (1,500-2,500 per day from wearable cameras), visual concepts (automatically extracted visual concepts with varying rates of accuracy), semantic content (semantic locations, semantic activities) based on sensor readings (via the Moves App) on mobile devices, biometrics information (heart rate, galvanic skin response, calorie burn, steps, continual blood glucose, etc.), music listening history, computer usage (frequency of typed words via the keyboard and information consumed on the computer via ASR of on-screen activity on a per-minute basis). Detailed description about the meta data is here!

The development queries can be downloaded here. The ground truth of this development queries can be downloaded here.

Submission instructions

As soon as the submission is open, you will find a “Create Submission” button on this page (just next to the tabs)

Participants will be permitted to submit up to 10 runs.

Each system run will consist of a single ASCII plain text file.

The results of each run should be given in separate lines in the text file.

A submitted run for the Puzzle task must be in the form of a text file in the following format:

[query_id, image id, order, part of the day]


  • query id: The id of the query that participant want to answer.
  • image id: Each image id is mapped to a specific order and should be predicted which part of the day that the image belongs to.
  • order: The answer of the task after the moments are arranged. The indices are from 1 to N (N is the number of images in the query). For each query, there should not be any image id with the same index.
  • part of the day: it should be morning, afternoon, evening, or night. The answer must be the index of the part of the day as follows: morning - 1 (4h00 AM to 11h59 AM), afternoon - 2 (12h00 PM to 4h59 PM) , evening - 3 (5h00 PM to 10h59 PM), night - 4 (11h00 PM to 3h59 AM).

Note: Please sort the results by the query id, then the image_id.


001, 001.JPG, 5, 2
001, 002.JPG, 1, 1

010, 025.JPG, 23, 3

Submission files

The file name must be followed the rule <task abbreviation>_<team name without spaces>_<run name without spaces>.csv


- PUZZLE_DCU_run1.csv


Information will be posted after the challenge ends.


We use Kendall rank correlation coefficient to evaluate the similarity between the participant's arrangement and the ground truth. For more information, please refer to this link.

The final score of this task is calculated by the mean of the accuracy of the prediction of which part of the day the image belongs to and the Kendall's Tau coefficient.


Note: In order to participate in this challenge you have to sign an End User Agreement (EUA). You will find more information on the ‘Dataset’ tab.

ImageCLEF lab is part of the Conference and Labs of the Evaluation Forum: CLEF 2019. CLEF 2019 consists of independent peer-reviewed workshops on a broad range of challenges in the fields of multilingual and multimodal information access evaluation, and a set of benchmarking activities carried in various labs designed to test different aspects of mono and cross-language Information retrieval systems. More details about the conference can be found here .

Submitting a working note with the full description of the methods used in each run is mandatory. Any run that could not be reproduced thanks to its description in the working notes might be removed from the official publication of the results. Working notes are published within CEUR-WS proceedings, resulting in an assignment of an individual DOI (URN) and an indexing by many bibliography systems including DBLP. According to the CEUR-WS policies, a light review of the working notes will be conducted by ImageCLEF organizing committee to ensure quality. As an illustration, ImageCLEF 2018 working notes (task overviews and participant working notes) can be found within CLEF 2019 CEUR-WS proceedings.


Participants of this challenge will automatically be registered at CLEF 2019. In order to be compliant with the CLEF registration requirements, please edit your profile by providing the following additional information:

  • First name

  • Last name

  • Affiliation

  • Address

  • City

  • Country

  • Regarding the username, please choose a name that represents your team.

This information will not be publicly visible and will be exclusively used to contact you and to send the registration data to CLEF, which is the main organizer of all CLEF labs

Participating as an individual (non affiliated) researcher

We welcome individual researchers, i.e. not affiliated to any institution, to participate. We kindly ask you to provide us with a motivation letter containing the following information:

  • the presentation of your most relevant research activities related to the task/tasks

  • your motivation for participating in the task/tasks and how you want to exploit the results

  • a list of the most relevant 5 publications (if applicable)

  • the link to your personal webpage

The motivation letter should be directly concatenated to the End User Agreement document or sent as a PDF file to bionescu at imag dot pub dot ro. The request will be analyzed by the ImageCLEF organizing committee. We reserve the right to refuse any applicants whose experience in the field is too narrow, and would therefore most likely prevent them from being able to finish the task/tasks.


ImageCLEF 2019 is an evaluation campaign that is being organized as part of the CLEF initiative 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). Selected contributions among the participants, will be invited for publication in the following year in the Springer Lecture Notes in Computer Science (LNCS) together with the annual lab overviews.


Contact us

We strongly encourage you to use the public channels mentioned above for communications between the participants and the organizers. In extreme cases, if there are any queries or comments that you would like to make using a private communication channel, then you can send us an email at :

  • Duc-Tien Dang-Nguyen <ductien.dangnguyen(at)uib.no>, University of Bergen, Norway
  • Luca Piras <luca.piras(at)diee.unica.it>, University of Cagliari, Cagliari, Italy
  • Michael Riegler <michael(at)simula.no>, University of Oslo, Norway
  • Minh-Triet Tran <tmtriet(at)hcmus.edu.vn>, University of Science, Ho Chi Minh City, Vietnam
  • Mathias Lux <mlux(at)itec.aau.at>, Klagenfurt University, Austria
  • Cathal Gurrin <cgurrin(at)computing.dcu.ie>, Dublin City University, Ireland

More information

You can find additional information on the challenge here: https://www.imageclef.org/2019/lifelog