• Publications
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Segmentation of recorded endoscopic videos by detecting significant motion changes
TLDR
We propose a new method for segmentation of endoscopic videos, based on spatial and temporal differences of motion in these videos. Expand
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lifeXplore at the Lifelog Search Challenge 2018
TLDR
We present a retrieval system based on our video search system diveXplore, which has successfully been used in the Video Browser Showdown 2017 and 2018. Expand
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Real-Time Image-based Smoke Detection in Endoscopic Videos
TLDR
The nature of endoscopy as a type of minimally invasive surgery (MIS) requires surgeons to perform complex operations by merely inspecting a live camera feed. Expand
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Image-Based Smoke Detection in Laparoscopic Videos
TLDR
The development and improper removal of smoke during minimally invasive surgery (MIS) can considerably impede a patient’s treatment, while additionally entailing serious deleterious health effects. Expand
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Temporal segmentation of laparoscopic videos into surgical phases
TLDR
Videos of laparoscopic surgeries need to be segmented temporally into phases so that surgeons can use the recordings efficiently in everyday work. Expand
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Collaborative Feature Maps for Interactive Video Search
TLDR
This extended demo paper summarizes our interface used for the Video Browser Showdown (VBS) 2017 competition, where visual and textual known-item search tasks, as well as ad-hoc video search (AVS) tasks in a 600-h video archive need to be solved interactively. Expand
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Instrument classification in laparoscopic videos
TLDR
In medical endoscopy more and more surgeons record videos of their interventions in a long-term storage archive for later retrieval. Expand
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The ITEC Collaborative Video Search System at the Video Browser Showdown 2018
TLDR
We present our video search system for the Video Browser Showdown (VBS) 2018 competition based on the collaborative system used in 2017. Expand
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Lapgyn4: a dataset for 4 automatic content analysis problems in the domain of laparoscopic gynecology
TLDR
We publish four datasets extracted from gynecologic, laparoscopic interventions with the intend on encouraging research in the field of post-surgical automatic media analysis. Expand
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Mobile Image Analysis: Android vs. iOS
TLDR
We compare the results of the same tests running on the two platforms on the same datasets and provide extended measurements on completion time and battery usage. Expand
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