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The Multimedia Satellite Task at MediaEval 2017

Type
conference paper
Date Issued
2017-09-13
Author(s)
Benjamin, Bischke
;
Patrick, Helber
;
Christian, Schulze
;
Venkat, Srinivasan
;
Andreas, Dengel
;
Damian, Borth  orcid-logo
Research Team
AIML Lab
Abstract
This paper provides a description of the MediaEval 2017 Multimedia Satellite Task. The primary goal of the task is to extract and fuse content of events which are present in Satellite Imagery and Social Media. Establishing a link from Satellite Imagery to Social Multi- media can yield to a comprehensive event representation which is vital for numerous applications. Focusing on natural disaster events in this year, the main objective of the task is to leverage the combined event representation withing the context of emergency response and environmental monitoring. In particular, our task focuses this year on flooding events and consists of two subtasks. The first Disaster Image Retrieval form Social Media subtask requires participants to retrieve images from Social Media which show a direct evidence of the flooding event. The second task Flood Detec- tion in Satellite Images aims to extract regions in satellite images which are affected by a flooding event. Extracted content from both tasks can be fused by means of the geographic information. The task seeks to go beyond state-of-the-art flooding map generation towards recent approaches in Deep-Learning while augmenting the satellite information at the same time with rich social multimedia.
Language
English
HSG Classification
contribution to scientific community
Event Title
MediaEval Benchmark
Event Location
Dublin, Ireland
URL
https://www.alexandria.unisg.ch/handle/20.500.14171/101969
Subject(s)

computer science

Division(s)

ICS - Institute of Co...

Eprints ID
258248
File(s)
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Thumbnail Image

open.access

Name

Mediaeval_2017_paper.pdf

Size

385.6 KB

Format

Adobe PDF

Checksum (MD5)

dfa6586fe48e87cceb35c4a59505ebd0

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