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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.
doaj +1 more source
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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Deep Learning for Content-Based Image Retrieval: A Comprehensive Study
ACM Multimedia, 2014 Learning effective feature representations and similarity measures are crucial to the retrieval performance of a content-based image retrieval (CBIR) system.
Ji Wan +6 more
semanticscholar +1 more source
Content-Based Image Retrieval and Feature Extraction: A Comprehensive Review
Mathematical Problems in Engineering, 2019 Multimedia content analysis is applied in different real-world computer vision applications, and digital images constitute a major part of multimedia data.
Afshan Latif +9 more
semanticscholar +1 more source
Survey on the privacy-preserving content based image retrieval
网络与信息安全学报, 2019 With the widespread popularity of smart devices and social media, the number of image data is exponentially increasing. The data owners tend to outsource the local data to the cloud servers, where data is stored, shared and retrieved.
WU Ying, JIN Biao, JIN Rongrong, LI Xuan
doaj +3 more sources
Medical Image Registration Based Retrieval [PDF]
Applied Medical Informatics, 2013 This paper presents a quantitative evaluation of state-of-the art intensity based image registration with retrieval methods applied to medical images. The purpose of this study is to access the stability of these methods for medical image analysis.
Swarnambiga AYYACHAMY +1 more
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Developments in the Built Environment, 2022 Retrieving unsafe behaviours from an existing digital database can provide managers and the like with the necessary information to put in place strategies to improve safety in construction.
Weili Fang +3 more
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A co-occurrence region based Bayesian network stepwise remote sensing image retrieval algorithm
Earth Sciences Research Journal, 2018 Although scholars have conducted numerous researches on content-based image retrieval and obtained great achievements, they make little progress in studying remote sensing image retrieval. Both theoretical and application systems are immature.
Rui Zeng, Yingyan Wang, Wanliang Wang
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