Results 1 to 10 of about 599,124 (143)
Saliency-Based Image Retrieval as a Refinement to Content-Based Image Retrieval [PDF]
ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2021 Searching for an image in a database is important in different applications; hence, many algorithms have been proposed to identify the contents of the image.
Mohammad A. N. Al-Azawi
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Survey of Deep Feature Instance Level Image Retrieval Algorithms [PDF]
Jisuanji kexue yu tansuo, 2023 Content-based image retrieval algorithm (CBIR) aims to find semantically matching or similar images with query images. It analyzes visual content in a large number of image databases. It is important to obtain discriminant image representation by feature
JI Changqing, WANG Bingbing, QIN Jing, WANG Zumin
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Wireless Image Retrieval at the Edge [PDF]
IEEE Journal on Selected Areas in Communications, 2021 We study the image retrieval problem at the wireless edge, where an edge device captures an image, which is then used to retrieve similar images from an edge server. These can be images of the same person or a vehicle taken from other cameras at different times and locations.
Jankowski M., Gunduz D., Mikolajczyk K.
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Efficient and secure multi-user outsourced image retrieval scheme with access control
网络与信息安全学报, 2021 In the cloud-based image retrieval services, the cloud server may not be fully trusted in which may arise privacy concerns. Some privacy-preserving image retrieval schemes have been proposed to protect image privacy.
SONG Fuyuan, QIN Zheng, LIU Yu +1 more
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Journal of Imaging, 2022 Color texture classification aims to recognize patterns by the analysis of their colors and their textures. This process requires using descriptors to represent and discriminate the different texture classes.
Mohamed Alimoussa +4 more
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Feature Transformation for Defending Adversarial Attack on Image Retrieval [PDF]
Jisuanji kexue, 2021 The adversarial attack is firstly studied in image classification to generate imperceptible perturbations that can mislead the prediction of a convolutional neural network.Recently,it has also been extensively explored in image retrieval and shows that ...
XU Xing, SUN Jia-liang, WANG Zheng, YANG Yang
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Information, 2022 With the continuous progress of image retrieval technology, in the field of image retrieval, the speed of a search for a desired image from a great deal of image data becomes a hot issue. Convolutional Neural Networks (CNN) have been used in the field of
Youmeng Luo +3 more
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Boosting image retrieval [PDF]
Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662), 2002 We present an approach for image retrieval using a very large number of highly selective features and efficient online learning. Our approach is predicated on the assumption that each image is generated by a sparse set of visual "causes" and that images which are visually similar share causes. We propose a mechanism for computing a very large number of
Paul A. Viola, Kinh Tieu
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Phase retrieval for imaging problems [PDF]
Mathematical Programming Computation, 2016 We study convex relaxation algorithms for phase retrieval on imaging problems. We show that structural assumptions on the signal and the observations, such as sparsity, smoothness or positivity, can be exploited to both speed-up convergence and improve recovery performance. We detail experimental results in molecular imaging problems simulated from PDB
Fogel, Fajwel +2 more
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Application of Ontologies in Information Retrieval of Digital Collections with Emphasis on Images [PDF]
بازیابی دانش و نظامهای معنایی, 2022 The purpose of this study is to use ontologies in the information retrieval of digital collections with an emphasis on images. The present research is of applied type and has been done by library method and systematic review of resources with an ...
Ahmadreza Ahmadi Mirghaed +2 more
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