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Explainable, interactive content‐based image retrieval
Applied AI Letters, 2021 Quantifying the value of explanations in a human‐in‐the‐loop (HITL) system is difficult. Previous methods either measure explanation‐specific values that do not correspond to user tasks and needs or poll users on how useful they find the explanations to ...
Bhavan Vasu +4 more
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IEEE Access, 2023 In the era of massive data production through the internet and social media, the volume of images generated is immense. Storing and retrieving relevant images efficiently pose significant challenges.
Divya Srivastava +5 more
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IET Image Processing, 2023 Content‐based image retrieval (CBIR) is the problem of searching for items in an image database that are similar to the query image. Most of the existing image retrieval methods are trained based on metric learning loss functions (e.g.
Jinliang Yao +3 more
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SPECTRAL ALGORITHM FOR CONTENT-BASED IMAGE RETRIEVAL
Journal of Engineering and Sustainable Development, 2020 Colour images are rich in visual information. The process of searching for the most similar images in large-scale database based on visual features of query image is still a challenge in Content-Based Image Retrieval (CBIR) due to a semantic gap issue ...
Hanan A. Al-Jubouri, Sawsan M. Mahmmod
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Correlated Networks for Content Based Image Retrieval [PDF]
International Journal of Computational Intelligence Systems, 2013 Efficient CBIR systems are based on three things, (1) how they represent the repository images in the form of signature; (2) how they measure the similarity of the database images with query image, (3) how they retrieve the semantically similar images in
Aun Irtaza, M. Arfan Jaffar, Eisa Aleisa
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Encrypted Image Retrieval System based on Features Analysis
Al-Mustansiriyah Journal of Science, 2018 – Content-based search provides an important tool for users to consume the ever-growing digital media repositories. However, since communication between digital products takes place in a public network, the necessity of security for digital images ...
Methaq Talib GAATA, Fadya Fouad Hantoosh
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An adaptive technique for content-based image retrieval [PDF]
, 2006 We discuss an adaptive approach towards Content-Based Image Retrieval. It is based on the Ostensive Model of developing information needs—a special kind of relevance feedback model that learns from implicit user feedback and adds a temporal notion to ...
AHM Hofstede ter +18 more
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Content-based medical image retrieval system for lung diseases using deep CNNs
International journal of information technology, 2022 Content-based image retrieval (CBIR) systems are designed to retrieve images that are relevant, based on detailed analysis of latent image characteristics, thus eliminating the dependency of natural language tags, text descriptions, or keywords ...
Shubham Agrawal +4 more
semanticscholar +1 more source
An analysis of content-based image retrieval
International Advanced Researches and Engineering Journal, 2021 Nowadays, working on digital images is gaining much popularity in multimedia systems, due to the rapid increase in the utilization of large image databases. Thus, the Content-Based Image Retrieval (CBIR) method has become the most valuable method for these databases.
Hakan KOYUNCU +2 more
openaire +4 more sources
Content Based Image Retrieval by Convolutional Neural Networks [PDF]
, 2019 Hamreras S., Benítez-Rochel R., Boucheham B., Molina-Cabello M.A., López-Rubio E. (2019) Content Based Image Retrieval by Convolutional Neural Networks. In: Ferrández Vicente J., Álvarez-Sánchez J., de la Paz López F., Toledo Moreo J., Adeli H.
E Walia +7 more
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