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VERGE in VBS 2022

2022; Springer Science+Business Media; Linguagem: Inglês

10.1007/978-3-030-98355-0_50

1611-3349

Stelios Andreadis, Anastasia Moumtzidou, Damianos Galanopoulos, Nick Pantelidis, Konstantinos Apostolidis, Δέσποινα Τούσκα, Konstantinos Gkountakos, Maria Pegia, Ilias Gialampoukidis, Stefanos Vrochidis, Vasileios Mezaris, Ioannis Kompatsiaris,

Multimodal Machine Learning Applications

This paper presents VERGE, an interactive video search engine that integrates multiple retrieval methodologies and also combines them with reranking and fusion techniques. Moreover, a user interface, implemented as a Web application, enables users to formulate queries, view the top retrieved shots and watch the respective videos, before submitting a shot to a VBS task, all in an efficient and easy manner.