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Overview of ImageCLEF lifelog 2017: lifelog retrieval and summarization

Dang-Nguyen, Duc-Tien orcid logoORCID: 0000-0002-2761-2213, Piras, Luca, Riegler, Michael, Boato, Giulia, Zhou, Liting orcid logoORCID: 0000-0002-7778-8743 and Gurrin, Cathal orcid logoORCID: 0000-0003-2903-3968 (2017) Overview of ImageCLEF lifelog 2017: lifelog retrieval and summarization. In: ImageCLEF 2017, 11-13 Sept 2017, Dublin. ISBN ISSN 1613-0073

Abstract
Despite the increasing number of successful related work- shops and panels, lifelogging has rarely been the subject of a rigorous comparative benchmarking exercise. Following the success of the new lifelog evaluation task at NTCIR-12, the first ImageCLEF 2017 LifeLog task aims to bring the attention of lifelogging to a wide audience and to promote research into some of the key challenges of the coming years. The ImageCLEF 2017 LifeLog task aims to be a comparative evaluation framework for information access and retrieval systems operating over personal lifelog data. Two subtasks were available to participants; all tasks use a single mixed modality data source from three lifeloggers for a period of about one month each. The data contains a large collection of wearable camera images, an XML description of the semantic locations, as well as the physical activities of the lifeloggers. Additional visual concept information was also provided by exploiting the Caffe CNN-based visual concept detector. For the two sub-tasks, 51 topics were chosen based on the real interests of the lifeloggers. In this first year three groups participated in the task, submitting 19 runs across all subtasks, and all participants also provided working notes papers. In general, the groups performance is very good across the tasks, and there are interesting insights into these very relevant challenges.
Metadata
Item Type:Conference or Workshop Item (Paper)
Event Type:Conference
Refereed:Yes
Subjects:Computer Science > Lifelog
Computer Science > Information storage and retrieval systems
Computer Science > Information retrieval
DCU Faculties and Centres:Research Initiatives and Centres > INSIGHT Centre for Data Analytics
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Published in: CLEF 2017 Workshop Proceedings. 1866. CEUR-WS. ISBN ISSN 1613-0073
Publisher:CEUR-WS
Official URL:http://ceur-ws.org/Vol-1866/invited_paper_10.pdf
Copyright Information:© 2017 CEUR-WS
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
ID Code:22039
Deposited On:25 Sep 2017 12:43 by Duc-Tien Dang-Nguyen . Last Modified 08 Nov 2021 14:57
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