Search Results - "Image retrieval"

Content-based Image Retrieval by Using Deep Learning for Interstitial Lung Disease Diagnosis with Chest CT by Choe, Jooae, Hwang, Hye Jeon, Seo, Joon Beom, Lee, Sang Min, Yun, Jihye, Kim, Min-Ju, Jeong, Jewon, Lee, Youngsoo, Jin, Kiok, Park, Rohee, Kim, Jihoon, Jeon, Howook, Kim, Namkug, Yi, Jaeyoun, Yu, Donghoon, Kim, Byeongsoo

“… Purpose To investigate whether a proposed content-based image retrieval (CBIR) of similar chest CT images by using deep learning can aid in the diagnosis of ILD by readers with different levels of experience…”
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DarwinGSE: Towards better image retrieval systems for intellectual property datasets by António, João, Valente, Jorge, Mora, Carlos, Almeida, Artur, Jardim, Sandra

“…s. Despite not being a new subject, image retrieval state-of-the-art lacks reliable solutions in the Industrial Property (IP…”
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Deep global semantic structure-preserving hashing via corrective triplet loss for remote sensing image retrieval by Zhou, Hongyan, Qin, Qibing, Hou, Jinkui, Dai, Jiangyan, Huang, Lei, Zhang, Wenfeng

“… The deep hashing method has become the dominant method for remote sensing image retrieval because of its low-cost storage and high-speed retrieval…”
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Sketch-Based Image Retrieval: Benchmark and Bag-of-Features Descriptors by Eitz, M., Hildebrand, K., Boubekeur, T., Alexa, M.

“…We introduce a benchmark for evaluating the performance of large-scale sketch-based image retrieval systems…”
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Cohesion Intensive Deep Hashing for Remote Sensing Image Retrieval by Han, Lirong, Li, Peng, Bai, Xiao, Grecos, Christos, Zhang, Xiaoyu, Ren, Peng

“…Recently, the demand for remote sensing image retrieval is growing and attracting the interest of many researchers because of the increasing number of remote sensing images…”
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Deep image retrieval using artificial neural network interpolation and indexing based on similarity measurement by Ahmad, Faiyaz

“…In content‐based image retrieval (CBIR), primitive image signatures are critical because they represent the visual characteristics…”
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LLM-powered scene graph representation learning for image retrieval via visual triplet-based graph transformation by Jeong, Soohwan, Park, Jongmin, Choi, Mingyu, Kwon, Yongjin, Lim, Sungsu

“…•Image retrieval system leveraging LLM-powered high-level visual context.•Convert a scene graph into a visual triplet-based graph with triplets as nodes…”
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Multi-Subject Image Retrieval by Fusing Object and Scene-Level Feature Embeddings by Ban, Chung-Gi, Hwang, Youngbae, Park, Dayoung, Lee, Ryong, Jang, Rae-Young, Choi, Myung-Seok

“… However, for general purposes, target databases for image retrieval can include multiple subjects because it is not easy to predict which subject is entered…”
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Medical Image Retrieval Using Empirical Mode Decomposition with Deep Convolutional Neural Network by Zhang, Shaomin, Zhou, Tao, Zhi, Lijia

“…Content-based medical image retrieval (CBMIR) systems attempt to search medical image database to narrow the semantic gap in medical image analysis…”
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ERP prototypical matching net: a meta-learning method for zero-calibration RSVP-based image retrieval by Wei, Wei, Qiu, Shuang, Zhang, Yukun, Mao, Jiayu, He, Huiguang

“… Therefore, zero-calibration has become an important topic in BCI research. In this paper, we construct an RSVP dataset that includes 31 subjects, and propose a zero-calibration method based on a metric-based meta-learning…”
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Computational approach for content‐based image retrieval of K‐similar images from brain MR image database by Sampathila, Niranjana, Pavithra, Martis, Roshan Joy

“…Content‐based medical image retrieval (CBMIR) is a mechanism to handle a huge quantity of image data generated in various medical imaging modalities…”
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Parallel deep solutions for image retrieval from imbalanced medical imaging archives by Khatami, Amin, Babaie, Morteza, Khosravi, Abbas, Tizhoosh, H.R., Nahavandi, Saeid

“…•The retrieval system are subject to LBP, HOG, and Radon features.•The proposed retrieval model surpasses all the methods reported in the literature…”
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AP-GAN: Adversarial patch attack on content-based image retrieval systems by Zhao, Guoping, Zhang, Mingyu, Liu, Jiajun, Li, Yaxian, Wen, Ji-Rong

“…Key Smart City applications such as traffic management and public security rely heavily on the intelligent processing of video and image data, often in the…”
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CONTENT-BASED IMAGE RETRIEVAL AND SAR IMAGERY ADDRESSING URBANIZATION CHALLENGES by Krishna, G Siva, Latha, Madhavi, Murthy, Narasimha, Saravanan, Joseph, Dennis, Subramanyam, C Maruthy, Sreeram, Anusha

“…Radar satellite imagery is frequently subject to noise interference. This study introduces the NEST Tool, which is designed to mitigate such noise using despeckling techniques…”
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Research on personalized image retrieval technology of video stream big data management model by Zhuo, Wei, He, Zhichao, Zheng, Mengying, Hu, Beichen, Wang, Ruijuan

“…The irrelevant background information in the personalized image is easy to be quantified into the same word as the main target, and the quantization process…”
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A generic framework for ontology-based information retrieval and image retrieval in web data by Vijayarajan, V., Dinakaran, M., Tejaswin, Priyam, Lohani, Mayank

“…In the internet era, search engines play a vital role in information retrieval from web pages. Search engines arrange the retrieved results using various…”
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Contour detection network for zero-shot sketch-based image retrieval by Zhang, Qing, Zhang, Jing, Su, Xiangdong, Bao, Feilong, Gao, Guanglai

“…Zero-shot sketch-based image retrieval (ZS-SBIR) is a challenging task that involves searching natural images related to a given hand-drawn sketch under the zero-shot scene…”
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Dual Modality Reverse Reranking (DM-RR) Based Image Retrieval Framework by Ahmed, Ikhlaq, Iltaf, Naima, Latif, Rabia, Jamail, Nor Shahida Mohd, Khan, Zafran

“… To facilitate interaction between the end-user and agent in such scenarios, a multimodal content-based image retrieval system is essential…”
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Generative Enhancement-based Similarity Prediction Hashing for Image Retrieval by Cao, Yuan, Meng, Fanlei, Wu, Xiangyu, Wang, Zijie

“… between components make it unfeasible to optimize the architecture significantly. Subject to noise interference and absence of similarity labels of training data, normal…”
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The Geodesic Distance on the Generalized Gamma Manifold for Texture Image Retrieval by Abbad, Zakariae, Maliani, Ahmed Drissi El, Alaoui, Said Ouatik El, Hassouni, Mohammed El, Abbassi, Mohamed Tahar Kadaoui

“…In this paper, the similarity measurement issue, in the context of texture images comparison, is tackled from a geometrical point of view by computing the Rao…”
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