[Invited papers] Comparing Approaches to Interactive Lifelog Search at the Lifelog Search Challenge (LSC2018)
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- Gurrin Cathal
- Dublin City University
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- Schoeffmann Klaus
- Klagenfurt University
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- Joho Hideo
- University of Tsukuba
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- Leibetseder Andreas
- Klagenfurt University
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- Zhou Liting
- Dublin City University
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- Duane Aaron
- Dublin City University
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- Dang-Nguyen Duc-Tien
- University of Bergen
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- Riegler Michael
- Oslo Metropolitan University
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- Piras Luca
- Pluribus One & University of Cagliari
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- Tran Minh-Triet
- University of Science, VNU-HCM
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- Lokoč Jakub
- Charles University
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- Hürst Wolfgang
- Utrecht University
抄録
<p>The Lifelog Search Challenge (LSC) is an international content retrieval competition that evaluates search for personal lifelog data. At the LSC, content-based search is performed over a multi-modal dataset, continuously recorded by a lifelogger over 27 days, consisting of multimedia content, biometric data, human activity data, and information activities data. In this work, we report on the first LSC that took place in Yokohama, Japan in 2018 as a special workshop at ACM International Conference on Multimedia Retrieval 2018 (ICMR 2018). We describe the general idea of this challenge, summarise the participating search systems as well as the evaluation procedure, and analyse the search performance of the teams in various aspects. We try to identify reasons why some systems performed better than others and provide an outlook as well as open issues for upcoming iterations of the challenge.</p>
収録刊行物
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- 映像情報メディア学会英語論文誌
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映像情報メディア学会英語論文誌 7 (2), 46-59, 2019
一般社団法人 映像情報メディア学会
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詳細情報 詳細情報について
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- CRID
- 1390564238096724224
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- NII論文ID
- 130007622446
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- DOI
- 10.3169/mta.7.46
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- ISSN
- 21867364
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- Crossref
- CiNii Articles
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- 抄録ライセンスフラグ
- 使用不可