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Content-based processing and analysis of endoscopic images and videos: A survey
TLDR
This survey aims to introduce this research field to a broader audience in the Multimedia community to stimulate further research, to describe domain-specific characteristics of endoscopic videos that need to be addressed in a pre-processing step, and to systematically bring together the very diverse research results for the first time.
Relevance Segmentation of Laparoscopic Videos
TLDR
This paper defines three classes of irrelevant segments, proposes visual feature extraction methods to obtain irrelevance indicators for each class and presents an extensible framework to detect irrelevant segments in laparoscopic videos.
Lapgyn4: a dataset for 4 automatic content analysis problems in the domain of laparoscopic gynecology
TLDR
Four datasets extracted from gynecologic, laparoscopic interventions are published with the intend on encouraging research in the field of post-surgical automatic media analysis, designed with the following use cases in mind: medical image retrieval based on a query image, detection of instrument counts, surgical actions and anatomical structures.
Investigation of the Impact of Compression on the Perceptional Quality of Laparoscopic Videos
TLDR
It is shown that it is not necessary to capture the highest possible quality for documentation and retrospective analysis and basic recommendations for an efficient encoding strategy with an appropriate tradeoff between visual quality and bitrate are presented.
Cataract-101: video dataset of 101 cataract surgeries
TLDR
A public video dataset of 101 cataract surgeries that were performed by four different surgeons over a period of 9 months is provided, providing the basis for experience-based video analytics.
Interactive Search or Sequential Browsing? A Detailed Analysis of the Video Browser Showdown 2018
TLDR
The results collected at the VBS evaluation server confirm that searching for one particular scene in the collection when given a limited time is still a challenging task for many of the approaches, and reveal that user-centric interfaces are still required to mediate access to specific content.
A Test Collection for Interactive Lifelog Retrieval
TLDR
The LSC2018 collection, designed to evaluate the performance of interactive retrieval systems, is introduced and the features of the dataset are described and the outcome of the first Lifelog Search Challenge (LSC), which used the dataset in an interactive competition at ACM ICMR 2018.
lifeXplore at the Lifelog Search Challenge 2018
TLDR
The resulting lifeXplore system is a flexible retrieval and exploration tool that offers various easy-to-use, yet still powerful search and browsing features that have been optimized for lifelog data and for usage by novice users.
Autopiloting Feature Maps: The Deep Interactive Video Exploration (diveXplore) System at VBS2019
TLDR
The most recent version of diveXplore, which has been successfully used for the latest two Video Browser Showdown competitions, is presented, with a Feature Map Autopilot, which ensures time-efficient inspection of feature maps without gaps and unnecessary visits.
Collaborative Feature Maps for Interactive Video Search
TLDR
This extended demo paper summarizes the interface used for the Video Browser Showdown (VBS) 2017 competition and proposes a very flexible distributed video search system that combines many ideas of related work in a novel and collaborative way, such that several users can work together and explore the video archive in a complementary manner.
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