Dynamic Hierarchical Visualization of Keyframes in Endoscopic Video

  • Jakub Lokoč
  • Klaus Schoeffmann
  • Manfred del Fabro
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 8936)


The after-inspection of endoscopic surgeries can be a tedious and time consuming task. Physicians have to search for important segments in the video recording of an intervention, which may have a duration of several hours. Automatically selected keyframes can support physicians in this task. The problem is that either too few keyframes are selected, missing some important information, or too many keyframes are selected, which overwhelms the user. Furthermore, keyframes of endoscopic videos typically show highly similar content. It is hence difficult to keep track of the temporal context of selected keyframes if they are presented in a grid view. To overcome these limitations, we present a dynamic hierarchical browsing technique for large sets of keyframes that preserves the temporal context in the visualization of the frames.


Temporal Context Shot Boundary 27th IEEE International Symposium Endoscopic Video Video Summary 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Jakub Lokoč
    • 1
  • Klaus Schoeffmann
    • 2
  • Manfred del Fabro
    • 2
  1. 1.SIRET Research Group, Department of Software Engineering, Faculty of Mathematics and PhysicsCharles University in PraguePragueCzech Republic
  2. 2.Klagenfurt UniversityKlagenfurtAustria

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