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ImageCLEF 2019 Lifelog - LMRT

Lifelog moment retrieval


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Overview

Note: ImageCLEF Lifelog 2019 is divided into 2 subtasks (challenges). This challenge is about Lifelog moment retrieval (LMRT). For information on the Puzzle 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.

Motivation

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

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.

Schedule

  • 05.11.2018: Registration opens
  • 26.11.2018: Development data release
  • 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
  • 07.02.2019: Development queries released and task descriptions revised!
  • 08.02.2019: Development PUZZLE dataset and LMRT ground truth are released!

Data

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!

Topics and Ground Truth Release

There are 10 topics for LMRT Tasks, like linked! The clusters and ground truth for these 10 topics are here!.

Submission instructions

The submissions will be received through the ImageCLEF 2019 system. Go to "Runs", then "Submit run", and then select the track.

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 LMRT sub-task must be in the form of a text file in the following format:

[topic id, image id, confidence score]

Where:

  • topic id: Number of the queried topic, e.g., from 1 to 10 for the development set.
  • image id: The image ID that answers the topic. Each image ID is mapped into moments. If there are more than one sequential images that answer the topic (i.e. the moment is more than one image in duration), then any image from within that moment is acceptable.
  • confidence score: from 0 to 1.

Sample:

1, u1_2015-02-26_095916_1, 1.00
1, u1_2015-02-26_095950_2, 1.00
1, u1_2015-02-26_100028_1, 1.00
...
10, u3_2015-08-01_144854_1, 1.00
10, u3_2015-08-01_145314_1, 1.00
10, u3_2015-08-01_145345_2, 1.00
10, u3_2015-08-01_145531_1, 0.80

Submission files

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

Examples:

- LMRT_DCU_run1.csv

Citations

Information will be posted after the challenge ends.

Evaluation

For each subtask, the final score is computed as an arithmetic mean of all queries. For each query, the evaluation method is applied as follows:

For assessing performance, classic metrics will be deployed. These metrics are:

  • Cluster Recall at X (CR@X) - a metric that assesses how many different clusters from the ground truth are represented among the top X results;
  • Precision at X (P@X) - measures the number of relevant photos among the top X results;
  • F1-measure at X (F1@X) - the harmonic mean of the previous two.

Various cut off points are to be considered, e.g., X=5, 10, 20, 30, 40, 50. Official ranking metrics this year will be the F1-measure@10, which gives equal importance to diversity (via CR@10) and relevance (via P@10).

Participants are allowed to undertake the sub-tasks in an interactive or automatic manner. For interactive submissions, a maximum of five minutes of search time is allowed per topic. In particular, the organizers would like to emphasize methods that allow interaction with real users (via Relevance Feedback (RF), for example), i.e., beside of the best performance, the way of interaction (like number of iterations using RF), or innovation level of the method (for example, new way to interact with real users) are encouraged.

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 ‘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 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 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.

Prizes

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.

Resources

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