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. The task requires the development of automated approaches to annotating these concepts from multimodal lifelong data. A manual activity segmentation will be provided. Both image content as well as provided metadata and external evidence sources can be used to generate the annotations.

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 will be 12 topics for the LSAT will be available from the NTCIR server in late 2018. These topics are of two types (easy and hard). The easy topics are designed to be processed in an automated manner, while the difficult topics are designed for interactive systems. For each topic, there will be one (or more) relevant moments. Here is a example of the types of LSAT query that will be used this year.

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.