Event detection and understanding is an important area in computer science and especially multimedia. The term event is very broad, and we want to propose a novel event based view on endoscopic surgeries. Thus, with the novel view on surgery in this paper, we want to provide a better un-derstanding and possible way of segmentation of the whole event surgery but also the included sub-events. To achieve this sophisticated goal, we present an annotation tool in combination with a thinking aloud test with an experienced surgeon.
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Event Understanding in Endoscopic Surgery Videos
1. Event Understanding in
Endoscopic Surgery Videos
Mario Guggenberger*, Michael Riegler°, Mathias Lux*, Pål Halvorsen°
Workshop on Human Centered Event Understanding from Multimedia (HuEvent14)
*Institute of Information Technology
Alpen-Adria-Universität Klagenfurt
Austria
°Media Performance Group
Simula Research Laboratory AS
Norway
2. The problem: Analysis of endoscopic
surgeries
Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula)
/ HuEvent14
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3. What we did
• Development of an annotation tool for endoscopic surgery videos
• Evaluation with a renowned surgeon
• Thinking aloud test & interview
• Evaluation of the evaluation
• Conceptual findings (event model)
• Technical findings (annotation tool requirements)
Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula)
/ HuEvent14
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4. Take home message
• Surgeries can be seen as events
• Which contain subevents
• Hierarchical model of endoscopic
surgery events
• Granularity of the events is
connected to the type of annotation
Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula)
/ HuEvent14
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7. Conceptual findings 1/2
• Surgery can be segmented into events and subevents.
• Granularity of event is directly connected to annotation type.
Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula)
/ HuEvent14
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8. The event model
Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula)
/ HuEvent14
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9. Technical findings 1/3
• Prepopulate timeline
• With automatically detected intervals (preprocessing step).
• With bookmarks marked as key events
during the surgery (planned).
• No interest in classical image processing methods
• E.g. image sharpness, dominant colors, movement intensity.
• Except for out-of-patient detection!
• Drawn annotations on moving video are pointless
• Except maybe with object tracking study with Rikshospital.
Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula)
/ HuEvent14
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10. Technical findings 2/3
• Tablet size (7‘‘ too small, min 10‘‘)
• Full screen video, control overlay
• Pen!
• Frame-exact seeking
• Surgeon noticed even single-frame misplacements
• Non computer savvy surgeons do not know UI paradigms
• Action feedback needs greater visual or tactile impact
• Zoomed timeline
• Separation of voice and drawn annotations anticipated
• But brings up many problems
Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula)
/ HuEvent14
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11. Technical findings 3/3
• Identified stroke usage types:
• Marking borders with solid stroke
• Marking areas with dots or hatched lines (optional solid stroke border)
• Arrows to indicate directional actions
• thin pen, thick felt pen, semitransparent marker
• Zoom-in
• Export annotated stills
• FF unimportant segments, SlowMo important segments
• Render standalone video
• Multimedia integration (e.g. linking x-ray images)
• Measurements (size, area, structure, color)
Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula)
/ HuEvent14
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12. A little bit of advertisement…
• ITEC MediaPlayer Library for Android
• GPL licensed, sources on GitHub
• http://git.io/SoH2ig
• API-compatible
• Frame-exact seeking
• Playback speed adjustment
• GLES support
• Shader effects, Gesture Zoom & Pan
• Frame extraction
• Supports local and network sources
• incl. MPEG-DASH
• Demo-App on the Play Store
Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula)
/ HuEvent14
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13. Conclusion
• Deduced a general event model of a surgery
• direct mapping between event granularity and annotation type
• Evaluation of an annotation tool for endoscopic surgery videos
• Evaluated with a renowned surgeon
• On his own recordings
• Provided many insights, ideas and a better understanding for
developing appropriate tools and techniques to understand surgeries
better
Mario Guggenberger (ITEC AAU), Michael Riegler (MPG Simula)
/ HuEvent14
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Documentation, training, explanations to patients
Tool needs to be very simple and make it easy to capture important information fast
Applies to surgical event annotation in general
We had one kind of annotation that could be universally applied in every situation … but it seemed very cognitively demanding to decide which type of annotation to make out of it … so we propose to switch to an event based paradigm: 3 kinds of annotations, to cover three levels of detail
Blue: low-detail, marking of intervals
Red: medium-detail, speech annotations to running video
Green: high-detail, speech + hand drawn annotations to still frames
type of action can be deduced from annotation type
No interest in image processing because recordings are similar to movies: the interesting shots are usually deliberately archestrated and have good lighting, a stable camera, and no instruments blocking sight
Pen -> no attractive technical spolution yet (S-Pen takes multitouch)
We had only one type of pen/stroke, with multiple colors to choose from
Zoom: interesting action often in limited area, video assistant often fails to zoom in
ITEC MediaPlayer: direct replacement for native android API video player, frame exact seek, dynamic playback speed adjustment (FF, slomo), image enhancement through opengl shaders, zooming and panning, DASH network streaming support, still frame export
Structure of tissue, color of liquids