Master data

Title: lifeXplore at the Lifelog Search Challenge 2018
Subtitle:
Abstract:

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.

Keywords:
Publication type: Article in compilation (Authorship)
Publication date: 06.2018 (Online)
Published by: 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
to publication
 ( ACM Digital Library; )
Title of the series: -
Volume number: -
First publication: Yes
Version: -
Page: -

Versionen

Keine Version vorhanden
Publication date: 06.2018
ISBN (e-book):
  • 978-1-4503-5796-8
eISSN: -
DOI: http://dx.doi.org/10.1145/3210539.3210541
Homepage: https://dl.acm.org/citation.cfm?id=3210541
Open access
  • Available online (not open access)

Assignment

Organisation Address
Fakultät für Technische Wissenschaften
 
Institut für Informationstechnologie
Universitaetsstr. 65-67
9020 Klagenfurt am Wörthersee
Austria
   martina.steinbacher@aau.at
http://itec.aau.at/
To organisation
Universitaetsstr. 65-67
AT - 9020  Klagenfurt am Wörthersee

Categorisation

Subject areas
  • 1020 - Computer Sciences
Research Cluster No research Research Cluster selected
Peer reviewed
  • Yes
Publication focus
  • Science to Science (Quality indicator: III)
Classification raster of the assigned organisational units:
working groups
  • Distributed Multimedia Systems

Cooperations

No partner organisations selected

Articles of the publication

No related publications