Multiple Query Content-Based Image Retrieval Using Relevance Feature Weight Learning

We propose a novel multiple query retrieval approach, named weight-learner, which relies on visual feature discrimination to estimate the distances between the query images and images in the database. For each query image, this discrimination consists of learning, in an unsupervised manner, the opti...

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Detalles Bibliográficos
Autores principales: Al-Mohamade, Abeer, Bchir, Ouiem, Ben Ismail, Mohamed Maher
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321011/
https://www.ncbi.nlm.nih.gov/pubmed/34460641
http://dx.doi.org/10.3390/jimaging6010002

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8321011/
https://www.ncbi.nlm.nih.gov/pubmed/34460641
http://dx.doi.org/10.3390/jimaging6010002

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