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Iranian Journal of Information Processing & Management, 2014 Sometimes we have only an image that we should get our information by that. There are many search engines and software's that can search images but all of them don’t have the ability to search for similar images, image search by image.
Mahshid Eltemasi
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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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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
Kinh Tieu, Paul Viola
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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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A Probabilistic Analysis of Sparse Coded Feature Pooling and Its Application for Image Retrieval. [PDF]
PLoS ONE, 2015 Feature coding and pooling as a key component of image retrieval have been widely studied over the past several years. Recently sparse coding with max-pooling is regarded as the state-of-the-art for image classification. However there is no comprehensive
Yunchao Zhang +3 more
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A Semantic-Preserving Deep Hashing Model for Multi-Label Remote Sensing Image Retrieval
Remote Sensing, 2021 Conventional remote sensing image retrieval (RSIR) systems perform single-label retrieval with a single label to represent the most dominant semantic content for an image.
Qimin Cheng +5 more
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