Will VISIONE Remain Competitive in Lifelog Image Search?-Reference-Cited by-同舟云学术

Will VISIONE Remain Competitive in Lifelog Image Search?

Published:2024-06-10 Issue: Volume:7 Page:58-63
ISSN:
Container-title:Proceedings of the 7th Annual ACM Workshop on the Lifelog Search Challenge
language:
Short-container-title:

Author:

Amato Giuseppe¹^ORCID,Bolettieri Paolo¹^ORCID,Carrara Fabio¹^ORCID,Falchi Fabrizio¹^ORCID,Gennaro Claudio¹^ORCID,Messina Nicola²^ORCID,Vadicamo Lucia¹^ORCID,Vairo Claudio¹^ORCID

Affiliation:

1. Institute of Information Science and Technologies (ISTI), National Research Council (CNR), Pisa, Italy

2. Information Science and Technologies (ISTI), National Research Council (CNR), Pisa, Italy

Funder

H2020 LEIT Information and Communication Technologies

NextGenerationEU PNRR

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3643489.3661122

Reference19 articles.

1. The VISIONE video search system: exploiting off-the-shelf text search engines for large-scale video retrieval;Amato Giuseppe;Journal of Imaging,2021

2. Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, and Claudio Vairo. 2023. VISIONE at Video Browser Showdown 2023. In MultiMedia Modeling. Springer, 615--621.

3. Giuseppe Amato, Paolo Bolettieri, Fabio Carrara, Fabrizio Falchi, Claudio Gennaro, Nicola Messina, Lucia Vadicamo, and Claudio Vairo. 2024. VISIONE 5.0: Enhanced User Interface and AI Models for VBS2024. In International Conference on Multimedia Modeling. Springer, 332--339.

4. Large-scale instance-level image retrieval;Amato Giuseppe;Information Processing & Management,2020

5. Parametric fuzzy sets for automatic color naming;Benavente Robert;JOSA A,2008

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1. Introduction to the Seventh Annual Lifelog Search Challenge, LSC'24;Proceedings of the 2024 International Conference on Multimedia Retrieval;2024-05-30