Results 91 to 100 of about 599,124 (143)

Efficient privacy-preserving image retrieval scheme over outsourced data with multi-user

Tongxin xuebao, 2019
The traditional privacy-preserving image retrieval schemes not only bring large computational and communication overhead,but also cannot protect the image and query privacy in multi-user scenarios.To solve above problems,an efficient privacy-preserving ...
Xiangyu WANG, Jianfeng MA, Yinbin MIAO
doaj   +2 more sources

A Bag of Visual Words Model for Medical Image Retrieval [PDF]

arXiv, 2020
Medical Image Retrieval is a challenging field in Visual information retrieval, due to the multi-dimensional and multi-modal context of the underlying content. Traditional models often fail to take the intrinsic characteristics of data into consideration, and have thus achieved limited accuracy when applied to medical images.
arxiv  

Revisiting Relevance Feedback for CLIP-based Interactive Image Retrieval [PDF]

arXiv
Many image retrieval studies use metric learning to train an image encoder. However, metric learning cannot handle differences in users' preferences, and requires data to train an image encoder. To overcome these limitations, we revisit relevance feedback, a classic technique for interactive retrieval systems, and propose an interactive CLIP-based ...
arxiv  

Research on tree image retrieval method based on twin network multi feature fusion

Energy Reports, 2023
In this paper, an image retrieval method based on twin network multi feature fusion is proposed to improve the retrieval accuracy of tree images to meet the detection requirements of power grid line tree obstacles. In the twin network, the color features,
Qinzhu Chen, Cong Zhang, Zhitan Yang, Guanqing Wang, Zhenfeng Han   +4 more
doaj  

Self-feedback image retrieval algorithm based on annular color moments

EURASIP Journal on Image and Video Processing, 2019
Content-based image retrieval (CBIR) extracts visual content features (such as color, texture, and shape) of a sample image to retrieve another similar image. Due to the existence of the semantic gap, retrieval results are often unsatisfactory.
Ying Deng, Yuanhui Yu
doaj   +1 more source

Hybrid Information Retrieval Model For Web Images

, 2012
The Bing Bang of the Internet in the early 90's increased dramatically the number of images being distributed and shared over the web. As a result, image information retrieval systems were developed to index and retrieve image files spread over the ...
Bassil, Youssef
core   +1 more source

An Investigation in Applying Image Retrieval Techniques to X-Ray Engineering Pictures [PDF]

Using image retrieval techniques in analysing Non-destructive testing reults is a new challenge in both computing science and engineering applications.
Lu, Joan, Pein, Raoul Pascal, Stav, John Birger, Uran, Miro   +3 more
core  

Deep Supervised Hashing by Fusing Multiscale Deep Features for Image Retrieval

Information
Deep network-based hashing has gained significant popularity in recent years, particularly in the field of image retrieval. However, most existing methods only focus on extracting semantic information from the final layer, disregarding valuable ...
Adil Redaoui, Amina Belalia, Kamel Belloulata   +2 more
doaj   +1 more source

RadIR: A Scalable Framework for Multi-Grained Medical Image Retrieval via Radiology Report Mining [PDF]

arXiv
Developing advanced medical imaging retrieval systems is challenging due to the varying definitions of `similar images' across different medical contexts. This challenge is compounded by the lack of large-scale, high-quality medical imaging retrieval datasets and benchmarks.
arxiv  

İçerik Tabanlı Görüntü Erişimi / Content-Based Image Retrieval

Bilgi Dünyası, 2005
Digital image collections are expanding day by day, and image retrieval becomes even harder. Both individuals and institutions encounter serious problems when building their image archives and later when retrieving the archived images. Visual information
İrem Soydal, Umut Al, Umut Sezen
doaj