Domain-Specific Video Compression for Long-Term Archiving of Endoscopic Surgery Videos

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.

[1]  European Society of Radiology Usability of irreversible image compression in radiological imaging. A position paper by the European Society of Radiology (ESR) , 2011, Insights into imaging.

[2]  Klaus Schöffmann,et al.  Investigation of the Impact of Compression on the Perceptional Quality of Laparoscopic Videos , 2014, 2014 IEEE 27th International Symposium on Computer-Based Medical Systems.

[3]  Klaus Schöffmann,et al.  Relevance Segmentation of Laparoscopic Videos , 2013, 2013 IEEE International Symposium on Multimedia.

[4]  G. F. Buess,et al.  The effect of high-definition imaging on surgical task efficiency in minimally invasive surgery , 2009, Surgical Endoscopy.

[5]  M. Feuerstein,et al.  Navigation in endoscopic soft tissue surgery: perspectives and limitations. , 2008, Journal of endourology.

[6]  Yu Cao,et al.  Measuring Objective Quality of Colonoscopy , 2009, IEEE Transactions on Biomedical Engineering.

[7]  Manfred Jürgen Primus Segmentation and Indexing of Endoscopic Videos , 2014, ACM Multimedia.

[8]  Mathias Lux,et al.  A novel tool for summarization of arthroscopic videos , 2009, Multimedia Tools and Applications.

[9]  Klaus Schöffmann,et al.  Keyframe extraction in endoscopic video , 2015, Multimedia Tools and Applications.

[10]  Klaus Schöffmann,et al.  Detection of circular content area in endoscopic videos , 2013, Proceedings of the 26th IEEE International Symposium on Computer-Based Medical Systems.

[11]  Euclid Seeram,et al.  Irreversible compression in digital radiology. A literature review , 2006 .

[12]  H. Schroeder,et al.  Value of high-definition imaging in neuroendoscopy , 2009, Neurosurgical Review.

[13]  Andru Putra Twinanda,et al.  Towards Better Laparoscopic Video Database Organization by Automatic Surgery Classification , 2014, IPCAI.

[14]  A. Uhl,et al.  Computer-Aided Decision Support Systems for Endoscopy in the Gastrointestinal Tract: A Review , 2011, IEEE Reviews in Biomedical Engineering.