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2019 | OriginalPaper | Buchkapitel

ImageCLEF 2019: Multimedia Retrieval in Medicine, Lifelogging, Security and Nature

verfasst von : Bogdan Ionescu, Henning Müller, Renaud Péteri, Yashin Dicente Cid, Vitali Liauchuk, Vassili Kovalev, Dzmitri Klimuk, Aleh Tarasau, Asma Ben Abacha, Sadid A. Hasan, Vivek Datla, Joey Liu, Dina Demner-Fushman, Duc-Tien Dang-Nguyen, Luca Piras, Michael Riegler, Minh-Triet Tran, Mathias Lux, Cathal Gurrin, Obioma Pelka, Christoph M. Friedrich, Alba Garcìa Seco de Herrera, Narciso Garcia, Ergina Kavallieratou, Carlos Roberto del Blanco, Carlos Cuevas, Nikos Vasillopoulos, Konstantinos Karampidis, Jon Chamberlain, Adrian Clark, Antonio Campello

Erschienen in: Experimental IR Meets Multilinguality, Multimodality, and Interaction

Verlag: Springer International Publishing

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Abstract

This paper presents an overview of the ImageCLEF 2019 lab, organized as part of the Conference and Labs of the Evaluation Forum - CLEF Labs 2019. ImageCLEF is an ongoing evaluation initiative (started in 2003) that promotes the evaluation of technologies for annotation, indexing and retrieval of visual data with the aim of providing information access to large collections of images in various usage scenarios and domains. In 2019, the 17th edition of ImageCLEF runs four main tasks: (i) a medical task that groups three previous tasks (caption analysis, tuberculosis prediction, and medical visual question answering) with new data, (ii) a lifelog task (videos, images and other sources) about daily activities understanding, retrieval and summarization, (iii) a new security task addressing the problems of automatically identifying forged content and retrieve hidden information, and (iv) a new coral task about segmenting and labeling collections of coral images for 3D modeling. The strong participation, with 235 research groups registering, and 63 submitting over 359 runs, shows an important interest in this benchmark campaign.

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Fußnoten
8
There was a limit of maximum 10 run submissions per team. The table includes only the valid runs that were graded (total# 80 out of 90 submissions).
 
10
Note that the question category-wise accuracy scores are normalized (each divided by a factor of 4) so that the summation is equal to the overall accuracy.
 
12
Last.FM Music Tracker and Recommender - https://​www.​last.​fm/​.
 
13
Fitbit Fitness Tracker (FitBit Versa) - https://​www.​fitbit.​com.
 
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Freestyle Libre wearable glucose monitor - https://​www.​freestylelibre.​ie/​.
 
15
Moves App for Android and iOS - http://​www.​moves-app.​com/​.
 
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Metadaten
Titel
ImageCLEF 2019: Multimedia Retrieval in Medicine, Lifelogging, Security and Nature
verfasst von
Bogdan Ionescu
Henning Müller
Renaud Péteri
Yashin Dicente Cid
Vitali Liauchuk
Vassili Kovalev
Dzmitri Klimuk
Aleh Tarasau
Asma Ben Abacha
Sadid A. Hasan
Vivek Datla
Joey Liu
Dina Demner-Fushman
Duc-Tien Dang-Nguyen
Luca Piras
Michael Riegler
Minh-Triet Tran
Mathias Lux
Cathal Gurrin
Obioma Pelka
Christoph M. Friedrich
Alba Garcìa Seco de Herrera
Narciso Garcia
Ergina Kavallieratou
Carlos Roberto del Blanco
Carlos Cuevas
Nikos Vasillopoulos
Konstantinos Karampidis
Jon Chamberlain
Adrian Clark
Antonio Campello
Copyright-Jahr
2019
DOI
https://doi.org/10.1007/978-3-030-28577-7_28

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