A Retrieval System for Images and Videos based on Aesthetic Assessment of Visuals-Reference-Cited by-同舟云学术

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A Retrieval System for Images and Videos based on Aesthetic Assessment of Visuals

Published:2023-07-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval
language:
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Author:

Vera Nieto Daniel¹^ORCID,Kalloori Saikishore¹^ORCID,Zund Fabio¹^ORCID,Labrador Clara Fernandez¹^ORCID,Willhaus Marc¹^ORCID,Klingler Severin¹^ORCID,Gross Markus¹^ORCID

Affiliation:

1. ETH Zürich, Zurich, Switzerland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3539618.3591817

Reference47 articles.

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2. [n. d.]. FastAPI framework high performance easy to learn fast to code ready for production. https://fastapi.tiangolo.com/. Accessed: 2023-02--17. [n. d.]. FastAPI framework high performance easy to learn fast to code ready for production. https://fastapi.tiangolo.com/. Accessed: 2023-02--17.

3. [n. d.]. Flickr. https://www.flickr.com/ [n. d.]. Flickr. https://www.flickr.com/

4. [n. d.]. Google Photos. https://www.google.com/photos/ [n. d.]. Google Photos. https://www.google.com/photos/

5. [n. d.]. Helm. The package manager for Kubernetes. https://helm.sh/. Accessed: 2023-02--17. [n. d.]. Helm. The package manager for Kubernetes. https://helm.sh/. Accessed: 2023-02--17.

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