Stammdaten

Titel: lifeXplore at the Lifelog Search Challenge 2018
Untertitel:
Kurzfassung:

With the growing hype for wearable devices recording biometric data comes the readiness to capture and combine even more personal information as a form of digital diary - lifelogging today is practiced ever more and can be categorized anywhere between an informative hobby and a life-changing experience. From an information processing point of view, analyzing the entirety of such multi-source data is immensely challenging, which is why the first Lifelog Search Challenge 2018 competition is brought into being, as to encourage the development of efficient interactive data retrieval systems. Answering this call, we present a retrieval system based on our video search system diveXplore, which has successfully been used in the Video Browser Showdown 2017 and 2018. Due to the different task definition and available data corpus, the base system was adapted and extended to this new challenge. The resulting lifeXplore system is a flexible retrieval and exploration tool that offers various easy-to-use, yet still powerful search and browsing features that have been optimized for lifelog data and for usage by novice users. Besides efficient presentation and summarization of lifelog data, it includes searchable feature maps, concept and metadata filters, similarity search and sketch search.

Schlagworte:
Publikationstyp: Beitrag in Sammelwerk (Autorenschaft)
Art der Veröffentlichung Online Publikation
Erschienen in: LSC '18 Proceedings of the 2018 ACM Workshop on The Lifelog Search Challenge
LSC '18 Proceedings of the 2018 ACM Workshop on The Lifelog Search Challenge
zur Publikation
 ( ACM Digital Library; )
Erscheinungsdatum: 06.2018
Titel der Serie: -
Bandnummer: -
Erstveröffentlichung: Ja
Version: -
Seite: -

Identifikatoren

ISBN:
  • 978-1-4503-5796-8
ISSN: -
DOI: http://dx.doi.org/10.1145/3210539.3210541
AC-Nummer: -
Homepage: https://dl.acm.org/citation.cfm?id=3210541
Open Access
  • Online verfügbar (nicht Open Access)

Zuordnung

Organisation Adresse
Fakultät für Technische Wissenschaften
 
Institut für Informationstechnologie
Universitaetsstr. 65-67
9020 Klagenfurt am Wörthersee
Österreich
   martina.steinbacher@uni-klu.ac.at
http://itec.aau.at/
zur Organisation
Universitaetsstr. 65-67
AT - 9020  Klagenfurt am Wörthersee

Kategorisierung

Sachgebiete
  • 1020 - Informatik
Forschungscluster Kein Forschungscluster ausgewählt
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: III)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Distributed Multimedia Systems

Kooperationen

Keine Partnerorganisation ausgewählt

Beiträge der Publikation

Keine verknüpften Publikationen vorhanden