Important Dates





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.



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 24 topics for the LSAT will be available from the NTCIR server on 05 July 2017. 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 life. 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 some target topics. This task is not evaluated in the traditional sense, but participants will be expected to present their work in a special session at NTCIR. We are flexible to the format of the themed diaries. There are five topics defined for this task and they act as guidelines. Participants are free to define their own additional topics for the task. The five core topics are:
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diet: Provide insights into the diet and blood sugar levels of the lifeloggers. For example, how does diet impact on the blood sugar levels of the lifeloggers?
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exercise: Describe the exercise, sleep and physical activities of both lifeloggers
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social: Socialisation levels are a good indicator of the health of individuals. Provide a themed social diary for each individual.
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where: Provide insights onto the location and movement patterns of the lifeloggers (e.g. are they ever in the same place?)
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compare: Comparison between two individuals across multiple dimensions (where the dimension is up to you).