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Official round: 8 days left

ImageCLEF 2020 Lifelog - SPLL

1 Authorship/Co-Authorship
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Note: ImageCLEF Lifelog 2020 is divided into 2 subtasks (challenges). This challenge is about Sport Performance Lifelog (SPLL). For information on the Lifelog moment retrieval (LMRT) challenge click here. Registering for one of the challenges (LMRT or SPLL) will automatically give you access to the other one.

Note: Do not forget to read the Rules section on this page. Pressing the red Participate button leads you to a page where you have to agree with those rules. You will not be able to submit any results before agreeing with the rules.

Note: Before trying to submit results, read the Submission instructions section on this page.

Lifelog Schedule

The schedule was updated last time on 30.04.2020.

  • 10.02.2020: registration opens
  • 17.02.2020: development data released
  • 14.04.2020: test data release starts
  • 30.04.2020: dataset and subtasks update - test data release
  • 05.06.2020: deadline for submitting the participants runs
  • 12.06.2020: release of the processed results by the task organizers
  • 10.07.2020: deadline for submission of working notes papers by the participants
  • 07.08.2020: notification of acceptance of the working notes papers
  • 21.08.2020: camera ready working notes papers
  • 22-25.09.2020: CLEF 2020, Thessaloniki, Greece

Challenge description

New Lifelog Task: sport performance lifelog (SPLL, 1st edition). The participants are required to predict the expected performance (e.g., estimated finishing time, average heart rate and calorie consumption) for an athlete who trained for a sport event. Data. A new data set will be provided, e.g., information collected from 16 people that train for a 5km run, daily sleeping patterns, daily heart rate, sport activities, image logs of all food consumed during the training period.

There are 3 tasks for subtask 2:

Task 1: Predict the change in running speed given by the change in seconds used per km (kilometer speed) from the initial run to the run at the end of the reporting period.

The valid user ids for the train set are p01, p10, p11, p13, p16 and the valid user_ids for the test set as well as in the submission file is p03, p04, p06, p07, p14.

Task 2: Predict the change in weight since the beginning of the reporting period to the end of the reporting period in kilos (1 decimal).

The valid user ids for the train set are p01, p10, p11, p13, p16 and the valid user_ids for the test set as well as in the submission file is p02, p03, p04, p05, p06, p07, p08, p09, p12, p14.

Task 3:  Predict the change in weight from the beginning of February to the end of the reporting period in kilos (1 decimal) using the images. 

The valid user ids for the train set is p01 and the valid user_ids for the test set as well as in the submission file is p03, p05.

Data

The 4th edition of this task will come with new, enriched data, focused on daily living activities and the chronological order of the moments and a completely new task for assessing sport performance. 

Ground-truth for the train set of 3 tasks are given at this link.

New data was uploaded on 29.04.2020.

Submission instructions

1. Format of the submitted run for task 1 of SPLL subtask is:

[user id, time difference]

Where: time difference has a preceding "+" if the time is slower and a "-" if it is faster. Difference in seconds for the speed per kilometer (for the 5 km run).

2. Format of the submitted run for task 2 and 3 of SPLL is:

[user id, weight difference]

Where: weight difference has a preceding "+" if the time is slower and a "-" if it is faster. Weight difference in kilogram.

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. The format of the text file is as follows:

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

[task id, user id, difference]

Where:

  • task id: The id of the task in SPLL sub-task (1, 2, or 3).
  • user id: The id of the user in the dataset.
  • difference: The meaning of this field depends on the task id. For task 1, its meaning is time difference. For task 2 and 3, its meaning is weight difference. The format of the difference is described in 1. and 2. in this section.

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

Examples:

- SPLL_DCU_run1.csv

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

Before being allowed to submit your results, you have to first press the red participate button, which leads you to a page where you have to accept the challenges rules.

Evaluation criteria

For the evaluation of the tasks the main ranking will be based on whether there is a correct positive or negative change (a point per correct) - and if there is a draw, the difference between the predicted and actual change will be evaluated and used to rank the task participants.

Rules

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

ImageCLEF lab is part of the Conference and Labs of the Evaluation Forum: CLEF 2020. CLEF 2020 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 2019 working notes (task overviews and participant working notes) can be found within CLEF 2019 CEUR-WS proceedings.

Important

Participants of this challenge will automatically be registered at CLEF 2020. 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.

Citations

Information will be posted after the challenge ends.

Prizes

Publication

ImageCLEF 2020 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.

Resources

Contact us

Discussion Forum

Alternative channels

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 :

  • ductien.dangnguyen[at]uib[dot]no>
  • zhou.liting2[at]mail[dot]dcu[dot]ie
  • luca.piras[at]diee[dot]unica[dot]it
  • michael[at]simula[dot]no
  • tmtriet[at]hcmus[dot]edu[dot]vn
  • mlux[at]itec[dot]aau[dot]at
  • cgurrin[at]computing[dot]dcu[dot]ie

More information

You can find additional information on the challenge here: https://www.imageclef.org/2020/lifelog