Publication: Static vs. Dynamic Content Descriptors ...
Master data
Title: | Static vs. Dynamic Content Descriptors for Video Retrieval in Laparoscopy |
Subtitle: | |
Abstract: | The domain of minimally invasive surgery has recently attracted attention from the Multimedia community due to the fact that systematic video documentation is on the rise in this medical field. The vastly growing volumes of video archives demand for effective and efficient techniques to retrieve specific information from large video collections with visually very homogeneous content. One specific challenge in this context is to retrieve scenes showing similar surgical actions, i.e., similarity search. Although this task has a high and constantly growing relevance for surgeons and other health professionals, it has rarely been investigated in the literature so far for this particular domain. In this paper, we propose and evaluate a number of both static and dynamic content descriptors for this purpose. The former only take into account individual images, while the latter consider the motion within a scene. Our experimental results show that although static descriptors achieve the highest overall performance, dynamic descriptors are much more discriminative for certain classes of surgical actions. We conclude that the two approaches have complementary strengths and further research should investigate methods to combine them. |
Keywords: |
Publication type: | Article in compilation (Authorship) |
Publication date: | 12.2017 (Online) |
Published by: |
2017 IEEE International Symposium on Multimedia (ISM)
2017 IEEE International Symposium on Multimedia (ISM)
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IEEE;
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to publication |
Title of the series: | - |
Volume number: | - |
First publication: | Yes |
Version: | - |
Page: | - |
Versionen
Keine Version vorhanden |
Publication date: | 12.2017 |
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eISSN: | - |
DOI: | http://dx.doi.org/10.1109/ISM.2017.36 |
Homepage: | http://ieeexplore.ieee.org/document/8241602/ |
Open access |
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Authors
Bernd Münzer (internal) |
Manfred Jürgen Primus (internal) |
Sabrina Kletz (internal) |
Stefan Petscharnig (internal) |
Klaus Schöffmann (internal) |
Assignment
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Fakultät für Technische Wissenschaften
Institut für Informationstechnologie
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AT - 9020 Klagenfurt am Wörthersee |
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Peer reviewed |
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