Publication: diveXB: An Interactive Video Retrieval ...
Master data
Title: | diveXB: An Interactive Video Retrieval System for Beginners |
Subtitle: | |
Abstract: | We present an interactive video retrieval system called diveXB (diveXplore for Beginners), which is an enhancement of our diveXplore system used for the recent Video Browser Showdown competitions. In addition to a common free-text search with text-image embeddings, diveXB integrates a new exploration component that allows browsing the video collection without any query. For this purpose, we employ k-means clustering of image embeddings that are extracted from video summaries with state-of-the-art vision transformers and select the most coherent clusters for query-free browsing in our user interface. First qualitative experiments have shown that this feature allows users to easily get an overview of the content structure in the video collection and to find desired content without the need for any textual input. |
Keywords: | image retrieval, similarity search, novice users |
Publication type: | Article in Proceedings (Authorship) |
Publication date: | 20.09.2023 (Print) |
Published by: |
CBMI '23 Proceedings of the 20th International Conference on Content-based Multimedia Indexing
CBMI '23 Proceedings of the 20th International Conference on Content-based Multimedia Indexing
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ACM Digital Library;
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Title of the series: | - |
Volume number: | - |
First publication: | Yes |
Version: | - |
Page: | pp. 153 - 157 |
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Keine Version vorhanden |
Publication date: | 20.09.2023 |
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ISSN: | - |
Homepage: | https://dl.acm.org/doi/abs/10.1145/3617233.3617258 |
Publication date: | 30.12.2023 |
ISBN (e-book): | - |
eISSN: | - |
DOI: | http://dx.doi.org/10.1145/3617233.3617258 |
Homepage: | https://dl.acm.org/doi/abs/10.1145/3617233.3617258 |
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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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