Stammdaten

Titel: Domain-Specific Video Compression for Long-term Archiving of Endoscopic Surgery Videos
Untertitel:
Kurzfassung:

Common lossy video compression methods have already reached a very high performance level and are about to reach their natural limit. However, their compression efficiency is still insufficient for certain domains where a plethora of video data should be archived. One example is the domain of medical endoscopy where entire surgeries are recorded for documentation with high visual quality because it is not possible to anticipate if and when exceptional situations may happen. Eventually, only a fraction of the video footage is of actual relevance for post-operative review. In this paper, we introduce the concept of domain-specific video compression by the example of this very specific domain. We identify several characteristics of endoscopic surgery videos that can be exploited by content-based analysis algorithms to achieve a significantly higher compression efficiency than in current practice. The extensive evaluation shows that the proposed methods massively reduce the data volume without any semantic information loss and thus allow for long-term video archiving of endoscopic surgery videos. Moreover, we expect to stimulate future research in this challenging new field.

Schlagworte:
Publikationstyp: Beitrag in Sammelwerk (Autorenschaft)
Art der Veröffentlichung Printversion
Erschienen in: Computer-Based Medical Systems (CBMS), 2016 IEEE 29th International Symposium on
Computer-Based Medical Systems (CBMS), 2016 IEEE 29th International Symposium on
zur Publikation
 ( IEEE; B. Kane, A. Marshall, P. Soda )
Erscheinungsdatum: 06.2016
Titel der Serie: -
Bandnummer: -
Erstveröffentlichung: Ja
Seite: S. 312 - 317

Identifikatoren

ISBN: -
ISSN: 2372-9198
DOI: http://dx.doi.org/10.1109/CBMS.2016.28
AC-Nummer: 16248015
Homepage: http://ieeexplore.ieee.org/document/7546009/?reload=true
Open Access
  • Kein 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
  • 102020 - Medizinische Informatik (305905)
Forschungscluster
  • Selbstorganisierende Systeme
Peer Reviewed
  • Ja
Publikationsfokus
  • Science to Science (Qualitätsindikator: II)
Klassifikationsraster der zugeordneten Organisationseinheiten:
Arbeitsgruppen
  • Distributed Multimedia Systems

Kooperationen

Keine Partnerorganisation ausgewählt

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