Results 11 to 20 of about 65,095 (302)
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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Medical Image Retrieval: Past and Present [PDF]
Healthcare Informatics Research, 2012 With the widespread dissemination of picture archiving and communication systems (PACSs) in hospitals, the amount of imaging data is rapidly increasing. Effective image retrieval systems are required to manage these complex and large image databases. The
Kyung Hoon Hwang +2 more
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Mobile content based image retrieval architectures [PDF]
2017 4th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI), 2017 Mobile device features such as camera and other sensors are evolving rapidly nowadays. Supported by a reliable communications network, it raises new methods in information retrieval. Mobile devices can capture an image with its camera and pass it to the retrieval systems to get the information needed.
Arif Rahman +2 more
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Human-centered content-based image retrieval [PDF]
SPIE Proceedings, 2008 A breakthrough is needed in order to achieve a substantial progress in the field of Content-Based Image Retrieval (CBIR). This breakthrough can be enforced by: 1) optimizing user-system interaction, 2) combining the wealth of techniques from text-based Information Retrieval with CBIR techniques, 3) exploiting human cognitive characteristics, especially
Broek, E.L. van den +3 more
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Content Based Image Retrieval (CBIR) by Statistical Methods
مجلة بغداد للعلوم, 2020 An image retrieval system is a computer system for browsing, looking and recovering pictures from a huge database of advanced pictures. The objective of Content-Based Image Retrieval (CBIR) methods is essentially to extract, from large (image) databases,
Fathala Ali et al.
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Adaptive Content-Based Medical Image Retrieval Based On Local Features Extraction In Shearlet Domain [PDF]
EAI Endorsed Transactions on Context-aware Systems and Applications, 2019 Image retrieval system is an urgent issue for in medicine. In the past, traditional image retrieval system based solely on the label of images and gave limited results.
Vo Tuyet +4 more
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