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Contribution Details

Type Conference or Workshop Paper
Scope Discipline-based scholarship
Published in Proceedings Yes
Title A Multi-Stream Approach for Video Understanding
Organization Unit
  • Lutharsanen Kunam
  • Luca Rossetto
  • Abraham Bernstein
Presentation Type paper
Item Subtype Original Work
Refereed Yes
Status Published in final form
  • English
ISBN 9781450392037
Page Range 7003 - 7007
Event Title MM '22: The 30th ACM International Conference on Multimedia
Event Type conference
Event Location Lisboa Portugal
Event Start Date November 10 - 2022
Event End Date November 14 - 2022
Place of Publication New York, NY, USA
Publisher ACM
Abstract Text The automatic annotation of higher-level semantic information in long-form video content is still a challenging task. The Deep Video Understanding (DVU) Challenge aims at catalyzing progress in this area by offering common data and tasks. In this paper, we present our contribution to the 3rd DVU challenge. Our approach consists of multiple information streams extracted from both the visual and the audio modality. The streams can build on information generated by previous streams to increase their semantic descriptiveness. Finally, the output of all streams can be aggregated in order to produce a graph representation of the input movie to represent the semantic relationships between the relevant characters.
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Digital Object Identifier 10.1145/3503161.3551567
Other Identification Number merlin-id:22814
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