Important Dates

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CALL FOR TASK PARTICIPATION


NTCIR-13 Lifelog Access and Retrieval (Lifelog) Task


Twitter: https://twitter.com/NTCIRLifelog

Registration: http://ntcir.nii.ac.jp/NTCIR13Regist/

Important Dates:

2018
01 Jun: Full Task Guidelines
01 Aug: Full Dataset Release & Sample Topics
30 Sept: Topics Release

2019
21 Jan: Runs due for LSAT and LADT Tasks
15 Feb: Results Release & Task Overview Paper (Draft) release
15 Mar: Submission of Participant Papers
01 May: Camera ready participant paper due
June: NTCIR-12 at NII, Tokyo


=== OVERVIEW ===


Digital recording of life experience (lifelogging) is gaining popularity as new types of wearable sensors can generate a rich archive of life experience. Such wearable sensors include wearable cameras, fitness trackers and various mobile devices. The objective of the NTCIR Lifelog task is to encourage research in this field and to understand the current state-of-the-art in lifelog retrieval.

A real-world lifelog dataset will be distributed to task participants. This dataset will consist of at least 45 days of data from two active lifeloggers. Much of the data will be recorded 24 x 7, though multimedia data will only be recorded during waking hours. The dataset will contain wearable camera images, biometrics records, human activity logs, and computer usage. A topic set of real-world topics will accompany the dataset.

Task participants must submit a paper to the NTCIR-13 Conference and at least one member of each participating group must either attend the conference at NII, Tokyo or a satellite event in Europe in December 2017, to present their work.


=== TASKS ===


NTCIR-13 Lifelog includes four subtasks, all of which can be participated in independently.



Lifelog Semantic Access Task (LSAT)
In this subtask, the participants have to retrieve specific moments in a lifelogger's life. We define moments as semantic events, or activities that the individual was involved in. The task can best be compared to a known-item search task as known from TRECVid.

Example search tasks include:

  • Find the moment(s) where I was boarding an A380.
  • Find the moment(s) where I am in my kitchen.
  • Find the moment(s) where I am playing with my phone.
  • Find the moment(s) where I am preparing breakfast.

Tasks can be undertaken in an interactive (user in the loop) or automatic manner (automatic query processing). Submissions will indicate the time (in minutes) of all instances of ranked results that best match the topic description and for interactive runs, the time-taken to find each result is required. The main metric to be used for evaluation is NDCG@N.  Dependent on the feedback received from the participants during the dry run, these metrics might be revised.


Lifelog Insight Task (LIT)
The aim of this subtask is to gain insights into the lifelogger's life in terms of health and wellness. There is a particular focus on understanding the relationship between food, exercise and glucose levels in the blood. It follows the idea of the Quantified Self movement that focuses on the visualization of knowledge mined from self-tracking data to provide "self-knowledge through numbers". Participants are requested to generate new types of visualisations and insights about the life of the lifeloggers. This task is not evaluated in the traditional sense, but participants will be expected to present their work in a special session at NTCIR.

LADT - Lifelog Activity Detection (sub) Task
The aim of this subtask is to new approaches to the annotation of multimodal lifelog data in terms of activities of daily living. An ontology will be generated of important lifelog activities of daily living and the task will require the development of automated approaches to annotating these concepts. Both image content as well as provided metadata and external evidence sources can be used to generate the annotations.


Please visit NTCIR lifelog website for more information about the task:
http://ntcir-lifelog.computing.dcu.ie/


=== ORGANIZERS ===

Cathal Gurrin (Dublin City University, Ireland)
Hideo Joho (University of Tsukuba, Japan)
Frank Hopfgartner (University of Glasgow, UK)
Liting Zhou (Dublin City University, Ireland)
Duc-Tien Dang-Nguyen (Dublin City University, Ireland)


=== CONTACT ===


ntcir-lifelog at computing dot dcu dot ie