A novel tool for summarization of arthroscopic videos

  • Authors:

  • Mathias Lux;Oge Marques;Klaus Schöffmann;Laszlo Böszörmenyi;Georg Lajtai

  • Affiliations:

  • Institute for Information Technology, Klagenfurt University, Klagenfurt, Austria 9020;Department of Computer Science and Engineering, Florida Atlantic University, Boca Raton, USA 33431;Institute for Information Technology, Klagenfurt University, Klagenfurt, Austria 9020;Institute for Information Technology, Klagenfurt University, Klagenfurt, Austria 9020;Private Clinic Althofen, Althofen, Austria 9330

  • Venue:
  • Multimedia Tools and Applications
  • Year:
  • 2010

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Abstract

Arthroscopic surgery is a minimally invasive procedure that uses a small camera to generate video streams, which are recorded and subsequently archived. In this paper we present a video summarization tool and demonstrate how it can be successfully used in the domain of arthroscopic videos. The proposed tool generates a keyframe-based summary, which clusters visually similar frames based on user-selected visual features and appropriate dissimilarity metrics. We discuss how this tool can be used for arthroscopic videos, taking advantage of several domain-specific aspects, without losing its ability to work on general-purpose videos. Experimental results confirm the feasibility of the proposed approach and encourage extending it to other application domains.