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EndoViP1

In recent years, digital images and videos of endoscopic screenings and surgical operations are recorded and archived by physicians with increasing frequency. The reason is that interventions can be documented in a much more expressive and informative way than with textual descriptions only. But an extensive, naive usage of endoscopic videos leads to huge amounts of video data that can easily exceed the storage capacity of hospital operators. Moreover, it is a very cumbersome task to retrieve specific information from such a large data set without efficient tools that are tailored to this very specific domain.
Therefore, the purpose of endoViP is to investigate how this video data can be significantly reduced without losing any important information. This involves the development of efficient encoding strategies as well as the automatic identification of irrelevant scenes by means of content-based analysis methods. If irrelevant scenes are omitted and only the actually relevant scenes remain, also the browsing and retrieval performance can be improved considerably. In this context, novel mechanisms for time-efficient retrospective viewing and retrieval of specific relevant scenes will also be investigated.
endoVip is an applied research project conducted at the Institute of Information Technology, Klagenfurt University and funded directly by our project partner KARL STORZ GmbH. The project started on May 1, 2012 and finished on  April 30, 2015. It is conducted in close collaboration with the Lakeside Labs Project CodeMM.

Publications

  • Collaborative Feature Maps for Interactive Video Search
    Klaus Schoeffmann, Manfred Jürgen Primus, Bernd Muenzer, Stefan Petscharnig, Christoph Karisch, Qing Xu, Wolfgang Huerst, Collaborative Feature Maps for Interactive Video Search, In MultiMedia Modeling: 23rd International Conference, MMM 2017, Reykjavik, Iceland, January 4-6, 2017, Proceedings, Part II (Laurent Amsaleg, Gylfi Þór Guðmundsson, Cathal Gurrin, Björn Þór Jónsson, Shin’ichi Satoh, eds.), Springer International Publishing, Cham, pp. 457-462, 2017.
  • Medical Multimedia Information Systems (MMIS)
    Klaus Schoeffmann, Bernd Münzer, Michael Riegler, Paal Halvorsen, Medical Multimedia Information Systems (MMIS), In MM ’17 Proceedings of the 2017 ACM on Multimedia Conference (Qiong Liu, Rainer Lienhart, Haohong Wang, eds.), ACM, New York, NY, USA, pp. 1957-1958, 2017.
  • Static vs. Dynamic Content Descriptors for Video Retrieval in Laparoscopy
    Bernd Münzer, Manfred Jürgen Primus, Sabrina Kletz, Stefan Petscharnig, Klaus Schoeffmann, Static vs. Dynamic Content Descriptors for Video Retrieval in Laparoscopy, In IEEE International Symposium on Multimedia (ISM2017) (Kang-Ming Chang, Wen-Thong Chang, eds.), IEEE, Taichung, Taiwan, pp. 8, 2017.
  • EndoXplore: A Web-based Video Explorer for Endoscopic Videos
    Bernd Münzer, Klaus Schoeffmann, Laszlo Böszörmenyi, EndoXplore: A Web-based Video Explorer for Endoscopic Videos, In IEEE International Symposium on Multimedia (ISM2017) (Kang-Ming Chang, Wen-Thong Chang, eds.), IEEE, Taichung, Taiwan, pp. 2, 2017.
  • Content-based processing and analysis of endoscopic images and videos: A survey
    Bernd Münzer, Klaus Schoeffmann, Laszlo Böszörmenyi, Content-based processing and analysis of endoscopic images and videos: A survey, In Multimedia Tools and Applications, Springer, Berlin, Heidelberg, New York, pp. 1-40, 2017.
  • Domain-Specific Video Compression for Long-term Archiving of Endoscopic Surgery Videos
    Bernd Münzer, Klaus Schoeffmann, Laszlo Böszörmenyi, Domain-Specific Video Compression for Long-term Archiving of Endoscopic Surgery Videos, In 29th International Symposium on Computer-Based Medical Systems (CBMS'16) (B Kane, A Marshall, P Soda, eds.), IEEE, Dublin, Ireland, pp. 312-317, 2016.
  • Investigation of the Impact of Compression on the Perceptional Quality of Laparoscopic Videos
    Bernd Münzer, Klaus Schoeffmann, Laszlo Böszörmenyi, Johannes Franciscus Smulders, Jack J Jakimowicz, Investigation of the Impact of Compression on the Perceptional Quality of Laparoscopic Videos, In 27th International Symposium on Computer-Based Medical Systems (CBMS'14) (Marina Krol, ed.), IEEE, New York City, USA, pp. 153-158, 2014.
  • Evaluation of Image Browsing Interfaces for Smartphones and Tablets
    Marco Andrea Hudelist, Klaus Schoeffmann, David Ahlström, Evaluation of Image Browsing Interfaces for Smartphones and Tablets, In IEEE International Symposium on Multimedia (ISM2013) (Gerald Friedland, Zhu Liu, Nadine Steinmetz, eds.), IEEE, Los Alamitos, CA, USA, pp. 8, 2013.
  • Relevance Segmentation of Laparoscopic Videos
    Bernd Münzer, Klaus Schoeffmann, Laszlo Böszörmenyi, Relevance Segmentation of Laparoscopic Videos, In IEEE International Symposium on Multimedia (ISM2013) (Anthony Y H Liao, ed.), IEEE, Anaheim, CA, USA, pp. 84-91, 2013.
  • Improving Encoding Efficiency of Endoscopic Videos by using Circle Detection based Border Overlays
    Bernd Münzer, Klaus Schoeffmann, Laszlo Böszörmenyi, Improving Encoding Efficiency of Endoscopic Videos by using Circle Detection based Border Overlays, In Proceedings of the IEEE International Conference on Multimedia and Expo (ICME) 2013 (Xenophon Zabulis, ed.), IEEE, San Jose, USA, pp. 1-4, 2013.
  • Detection of Circular Content Area in Endoscopic Videos
    Bernd Münzer, Klaus Schoeffmann, Laszlo Böszörmenyi, Detection of Circular Content Area in Endoscopic Videos, In 26th International Symposium on Computer-Based Medical Systems (CBMS'13) (Paolo Soda, ed.), IEEE, Porto, Portugal, pp. 534-536, 2013.
  • Detection of Circular Content Area in Endoscopic Videos for Efficient Encoding and Improved Content Analysis
    Bernd Münzer, Klaus Schoeffmann, Laszlo Böszörmenyi, Detection of Circular Content Area in Endoscopic Videos for Efficient Encoding and Improved Content Analysis, Technical report, Institute of Information Technology (ITEC), Klagenfurt University, no. TR/ITEC/12/2.03, Klagenfurt, Austria, pp. 20, 2012.