Exploring Multimedia Vector Spaces with vitrivr-VR-Reference-Cited by-同舟云学术

Exploring Multimedia Vector Spaces with vitrivr-VR

Published:2024 Issue: Volume: Page:317-323
ISSN:0302-9743
Container-title:Lecture Notes in Computer Science
language:en
Short-container-title:

Author:

Spiess Florian^ORCID,Rossetto Luca^ORCID,Schuldt Heiko^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-53302-0_27

Reference13 articles.

1. Gasser, R., Rossetto, L., Heller, S., Schuldt, H.: Cottontail DB: an open source database system for multimedia retrieval and analysis. In: International Conference on Multimedia, pp. 4465–4468. Association for Computing Machinery, New York, NY, USA (2020). https://doi.org/10.1145/3394171.3414538

2. Lokoč, J., et al.: Interactive video retrieval in the age of effective joint embedding deep models: lessons from the 11$$^{th}$$ VBS. Multimedia Syst. (2023). https://doi.org/10.1007/s00530-023-01143-5

3. van der Maaten, L., Hinton, G.: Visualizing Data Using T-SNE. J. Mach. Learn. Res. 9(86), 2579–2605 (2008). http://jmlr.org/papers/v9/vandermaaten08a.html

4. McInnes, L., Healy, J., Melville, J.: UMAP: uniform manifold approximation and projection for dimension reduction. arXiv (2018). https://doi.org/10.48550/ARXIV.1802.03426

5. Radford, A., et al.: Learning transferable visual models from natural language supervision. arXiv (2021). https://doi.org/10.48550/ARXIV.2103.00020

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