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Overview of NTCIR-15 MART

Graham, Healy ORCID: 0000-0001-6429-6339, Le, Tu-Khiem ORCID: 0000-0003-3013-9380, Hideo, Joho, Frank, Hopfgartner ORCID: 0000-0003-0380-6088 and Cathal, Gurrin ORCID: 0000-0003-4395-7702 (2020) Overview of NTCIR-15 MART. In: 15th NTCIR Conference on Evaluation of Information Access Technologies,, 8-11Dec 2020, Tokyo, Japan.

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Abstract

MART (Micro-activity Retrieval Task) was a NTCIR-15 collaborative benchmarking pilot task. The NTCIR-15 MART pilot aimed to motivate the development of first generation techniques for high-precision micro-activity detection and retrieval, to support the identification and retrieval of activities that occur over short time-scales such as minutes, rather than the long-duration event segmentation tasks of the past work. Participating researchers developed and benchmarked approaches to retrieve micro-activities from rich time-aligned multi-modal sensor data. Groups were ranked in decreasing order of micro-activity retrieval accuracy using mAP (mean Average Precision). The dataset used for the task consisted of a detailed lifelog of activities gathered using a controlled protocol of real-world activities (e.g. using a computer, eating, daydreaming, etc). The data included a lifelog camera data stream, biosignal activity (EOG, HR), and computer interactions (mouse movements, screenshots, etc). This task presented a novel set of challenging micro-activity based topics.

Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Uncontrolled Keywords:human activity detection; micro-activities; multi-modal sensing
Subjects:Computer Science > Artificial intelligence
Computer Science > Information retrieval
Computer Science > Interactive computer systems
Computer Science > Lifelog
DCU Faculties and Centres:DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Research Initiatives and Centres > INSIGHT Centre for Data Analytics
Published in: Proceedings of the 15th NTCIR Conference on Evaluation of Information Access Technologies. .
Official URL:https://research.nii.ac.jp/ntcir/workshop/OnlineProceedings15/NTCIR/abstract_ntcir.html#MART01
Funders:Science Foundation Ireland
ID Code:27037
Deposited On:20 Apr 2022 10:50 by Tu-Khiem Le . Last Modified 20 Apr 2022 10:52

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