QISS: An Open Source Image Similarity Search Engine

Qwant Image Similarity Search (QISS) is a multi-lingual image similarity search engine based on a dual path neural networks that embed texts and images into a common feature space where they are easily comparable. Our demonstrator, available at http://research.qwant.com/images, allows real-time sear...

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Detalles Bibliográficos
Autores principales: Portaz, Maxime, Nivaggioli, Adrien, Randrianarivo, Hicham, Kacher, Ilyes, Peyronnet, Sylvain
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148035/
http://dx.doi.org/10.1007/978-3-030-45442-5_63
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author Portaz, Maxime
Nivaggioli, Adrien
Randrianarivo, Hicham
Kacher, Ilyes
Peyronnet, Sylvain
author_facet Portaz, Maxime
Nivaggioli, Adrien
Randrianarivo, Hicham
Kacher, Ilyes
Peyronnet, Sylvain
author_sort Portaz, Maxime
collection PubMed
description Qwant Image Similarity Search (QISS) is a multi-lingual image similarity search engine based on a dual path neural networks that embed texts and images into a common feature space where they are easily comparable. Our demonstrator, available at http://research.qwant.com/images, allows real-time searches in a database of approximately 100 million images.
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spelling pubmed-71480352020-04-13 QISS: An Open Source Image Similarity Search Engine Portaz, Maxime Nivaggioli, Adrien Randrianarivo, Hicham Kacher, Ilyes Peyronnet, Sylvain Advances in Information Retrieval Article Qwant Image Similarity Search (QISS) is a multi-lingual image similarity search engine based on a dual path neural networks that embed texts and images into a common feature space where they are easily comparable. Our demonstrator, available at http://research.qwant.com/images, allows real-time searches in a database of approximately 100 million images. 2020-03-24 /pmc/articles/PMC7148035/ http://dx.doi.org/10.1007/978-3-030-45442-5_63 Text en © Springer Nature Switzerland AG 2020 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Portaz, Maxime
Nivaggioli, Adrien
Randrianarivo, Hicham
Kacher, Ilyes
Peyronnet, Sylvain
QISS: An Open Source Image Similarity Search Engine
title QISS: An Open Source Image Similarity Search Engine
title_full QISS: An Open Source Image Similarity Search Engine
title_fullStr QISS: An Open Source Image Similarity Search Engine
title_full_unstemmed QISS: An Open Source Image Similarity Search Engine
title_short QISS: An Open Source Image Similarity Search Engine
title_sort qiss: an open source image similarity search engine
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7148035/
http://dx.doi.org/10.1007/978-3-030-45442-5_63
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AT randrianarivohicham qissanopensourceimagesimilaritysearchengine
AT kacherilyes qissanopensourceimagesimilaritysearchengine
AT peyronnetsylvain qissanopensourceimagesimilaritysearchengine

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