Important Dates





LADT - Lifelog Activity Detection (sub) Task
The aim of this subtask is to develop new approaches to the annotation of multimodal lifelog data in terms of activities of daily living. An ontology of important lifelog activities of daily living act as the ground truth for the development effort (see below). The task requires the development of automated approaches to annotating these concepts from multimodal lifelog data. Both image content as well as provided metadata and external evidence sources can be used to generate the activity annotations. The submission is in terms of minutes where every minute is annotated with the desired activity. There are sixteen activities identified below

To reduce the level of subjectivity in the manual judgement process, the manual segmentation is achieved by segmentation the 90 days of data into fifteen distinct episode types, as follows (label: description):
traveling: travelling (car, bus, boat, airplane, train, etc)
f2f interacting: face-to-face interaction with people at home or in the workplace (excluding social interactions)
using a computer: using desktop computer / laptop / tablet / smartphone 
cooking: preparing meals (include making tea or coffee) at any location
eating: eating meals in any location, but not including moments when drinking alone. 
time with children: taking care of children / playing with children
houseworking: working in the home (e.g. cleaning, gardening)
relaxing: relaxing at home (e.g. TV, having a drink)
reading: reading any form of paper
socialising: socialising outside the home or office
praying: praying / worshipping / meditating
shopping: shopping in a physical shop (not online)
gaming: playing computer games
physical activities: physical activities / sports (walking, playing sports, cycling, rowing, etc)
creative activities: creative endeavours (writing, art, music)
other activities: any other activity not represented by the fifteen labels above.


LSAT - Lifelog Semantic Access (sub) Task - same as NTCIR-12/13
In this sub task, the participants have to retrieve a number of specific moments in a lifelogger's life. We define moments as semantic events, or activities that happened throughout the day. The task can best be compared to a known-item search task.


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.

The LSAT sub task can be undertaken by participants in either an automatic manner or an interactive manner. Automatic runs assume that there was no user involvement in the search process beyond specifying the query. Interactive runs assume that there is a user involved in the search process that generates a query and selects which moments are considered correct for each topic. It is important that the correct task submission type is identified by participants when submitting runs. There are 24 topics for the LSAT, which will be available from the NTCIR server in late 2018, but are linked here also. These topics are of two types (precision and recall focused). The precision topics are reflective of known/remembered-item search tasks with one (or few) relevant moments and the evaluation is in terms of the position of the first relevant moment, while the recall topics reflect information needs that can have many relevant moments and as such, participants are expected to provide a ranked list of moments which will be evaluated in terms of MAP.



LIT - Lifelog Insight (sub) Task
The aim of this subtask is to gain insights into the lifelogger's diet and health. 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 by generating a themed diary or themed insights related to the diet and health of the lifeloggers. The submissions are not evaluated in the traditional sense, but will form the basis of an interactive session at NTCIR-14.