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SOMHunter V2 at Video Browser Showdown 2021

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MultiMedia Modeling (MMM 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12573))

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Abstract

This paper presents an enhanced version of an interactive video retrieval tool SOMHunter that won Video Browser Showdown 2020. The presented enhancements focus on improving text querying capabilities since the text search model plays a crucial part in successful searches. Hence, we introduce the ability to specify multiple text queries with further positional specification so users can better describe positional relationships of the objects. Moreover, a possibility to further specify text queries with an example image is introduced as well as consequent changes to the user interface of the tool.

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Acknowledgments

This paper has been supported by Czech Science Foundation (GAČR) project 19-22071Y and by Charles University grant SVV-260588.

We are grateful to Tomáš Souček for his help with frame selection and feature extraction. Also, we thank Miroslav Kratochvíl for his valuable feedback and help with the implementation.

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Correspondence to Patrik Veselý .

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Veselý, P., Mejzlík, F., Lokoč, J. (2021). SOMHunter V2 at Video Browser Showdown 2021. In: Lokoč, J., et al. MultiMedia Modeling. MMM 2021. Lecture Notes in Computer Science(), vol 12573. Springer, Cham. https://doi.org/10.1007/978-3-030-67835-7_45

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  • DOI: https://doi.org/10.1007/978-3-030-67835-7_45

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  • Online ISBN: 978-3-030-67835-7

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