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Deep Representation-Based Fuzzy Graph Model for Content-Based Image Retrieval
Image retrieval involves searching for images relevant to a user-provided query image. In this paper, we aim to develop a graph-based model with deep...
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An Effective Content Based Image Retrieval System Using Deep Learning Based Inception Model
At present times, the rapid generation of digital images has resulted in a requirement to improve the searching and retrieving process of images from...
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An Effective Hybrid Framework Based on Combination of Color and Texture Features for Content-Based Image Retrieval
In Content-Based Image Retrieval (CBIR) system image representation is a vital function. In the CBIR method, shape, texture, and color features are...
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Detection of Content-Based Image Retrieval Using OCR Tools
In the field of image processing content-based image retrieval is having research scope to retrieve the images which is stored in any location on the...
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An Efficient Content-Based Image Retrieval Using Threefold Technique
Managing large amounts of information in the digital world requires an efficient and effective image retrieval system. Content-based image retrieval...
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Leveraging Content Based Image Retrieval Using Data Mining for Efficient Image Exploration
A content-based image Retrieval (CBIR) has become an essential tool for managing and searching large-scale images. However, the accuracy and...
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Image Retrieval Technique Using Visual Features in Content-Based Image Retrieval System
The rapid growth and widespread availability of visual data on the internet has resulted in a growth in image search and retrieval research. In the...
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Privacy-preserving multi-source content-based image retrieval for IoT in cloud computing
As Internet of Things (IoT) devices develop, an increasing number of images appear in our everyday lives. The emergence of massive amounts of image...
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Content-Based Image Retrieval Using Multi-deep Learning Models
CBIR—content-based image retrieval is commonly known as the process or technique to the “image retrieval” problem that is the problem of analyzing...
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Content-Based Image Retrieval Using Octree Quantization Algorithm
Image color representation is among the most important aspects of Content-Based Image Retrieval (CBIR). Indeed, color features are one of the...
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Content-Based Image Retrieval Using Fused Convolutional Neural Networks
Multimedia plays a significant role in our day-to-day life. Large image databases easily exist due to the spread of social websites, cloud storage,...
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Content-Based Image Retrieval Techniques and Their Applications in Medical Science
Introduction: Content-based image retrieval (CBIR) retrieves the images from the vast image repositories. Research in the CBIR domain gets attention...
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An optimal approach for content-based image retrieval using deep learning on COVID-19 and pneumonia X-ray Images
Analyzing and comparing the multi-spectral images in the healthcare domain is a complex task as it involves features in the visible spectrum and...
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An Insight into Content-Based Image Retrieval Techniques, Datasets, and Evaluation Metrics
The goal of a content-based image retrieval (CBIR) framework is to enable users to efficiently retrieve images from a large database based on the...
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Multiple Feature Relevance Feedback in Content- Based Image Retrieval using Probabilistic Inference Networks
The BIR content based image retrieval system uses a Bayesian belief network architecture to match query by example images to images in a database....
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Content-Based Image Retrieval Using Deep Features and Hamming Distance
Content-based image retrieval is a method of retrieving images based on its semantic features. Classical CBIR models in the literature uses low-level...
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Content-based image retrieval using integrated features and multi-subspace randomization and collaboration
In the Content-based image retrieval process, the semantic gap is a common challenge and the existing Bag-of-words approach is used to reduce the...
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Exploration on Content-Based Image Retrieval Methods
In the current ages, the progress in computer knowledge and multimedia solicitations has commanded to the construction of massive digital images and...
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Content Based Document Image Retrieval Using Computer Vision and AI Techniques
This work presents a technique for finding if a same image is present in the database of PDF files. The objective of content-based document image...
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Efficient content-based image retrieval using deep search and rescue algorithm
Recently, content-based image retrieval (CBIR) system seems to be very challenging in research fields due to the growth of multimedia contents on the...
