Query-based video summarization with multi-label classification network

Generic video summarization algorithms are characterized by the uniqueness of the final video summary result, which cannot satisfy the different summary requirements of different users for the same video. This paper addresses the task of query-based video summarization, which takes users’ queries an...

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Veröffentlicht in:	Multimedia tools and applications Jg. 82; H. 24; S. 37529 - 37549
Hauptverfasser:	Hu, Weifeng, Zhang, Yu, Li, Yujun, Zhao, Jia, Hu, Xifeng, Cui, Yan, Wang, Xuejing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York Springer US 01.10.2023 Springer Nature B.V
Schlagworte:	Algorithms Classification Computer Communication Networks Computer Science Cross correlation Data Structures and Information Theory Datasets Deep learning Design Labels Multilayer perceptrons Multilayers Multimedia Multimedia Information Systems Neural networks Queries Semantics Special Purpose and Application-Based Systems User requirements Video data Deep learning Label correlation User subjectivity Multi-label classification Query-based video summarization
ISSN:	1380-7501, 1573-7721
Online-Zugang:	Volltext
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