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Type | Conference or Workshop Paper |
Scope | Discipline-based scholarship |
Published in Proceedings | Yes |
Title | VideoGraph – Towards Using Knowledge Graphs for Interactive Video Retrieval |
Organization Unit | |
Authors |
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Presentation Type | paper |
Item Subtype | Original Work |
Refereed | Yes |
Status | Published in final form |
Language |
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Page Range | 417 - 422 |
Event Title | International Conference on Multimedia Modeling |
Event Type | conference |
Event Location | Prague |
Event Start Date | July 22 - 2021 |
Event End Date | July 24 - 2021 |
Publisher | Springer |
Abstract Text | Video is a very expressive medium, able to capture a wide variety of information in different ways. While there have been many advances in the recent past, which enable the annotation of semantic concepts as well as individual objects within video, their larger context has so far not extensively been used for the purpose of retrieval. In this paper, we introduce the first iteration of VideoGraph, a knowledge graph-based video retrieval system. VideoGraph combines information extracted from multiple video modalities with external knowledge bases to produce a semantically enriched representation of the content in a video collection, which can then be retrieved using graph traversal. For the 2021 Video Browser Showdown, we show the first proof-of-concept of such a graph-based video retrieval approach. Keywords Interactive video retrieval Knowledge-graphs Multi-modal graphs |
Related URLs | |
Digital Object Identifier | 10.1007/978-3-030-67835-7_38 |
Other Identification Number | merlin-id:20802 |
PDF File | Download from ZORA |
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