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Privacy preserving content based image retrieval
The rapid and tremendous growth of multimedia content has motivated users and organizations to upload their large scale digital content on the cloud...
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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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Content Based Medical Image Retrieval
Modern healthcare relies heavily on medical imaging, and as a result of its extensive use, image databases, picture archiving, and picture...
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Content-based face image retrieval using quaternion based local diagonal extreme value pattern
This paper proposes a content based face image retrieval technique that utilizes Quaternion image representation and converts it into multiple images...
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Novel Content Based Image Retrieval—Features of Correlated Visual Textons and MQLPP Descriptor
Content-based image retrieval (CBIR) has made significant advancements and continues to evolve with the rapid development of computer vision and...
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CBIR-ACHS: compressed domain content-based image retrieval through auto-correloblock in HEVC standard
Because the complete decompression of images encoded through the HEVC standard is time-consuming, image retrieval encoded through the HEVC standard...
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Content-based image retrieval with fuzzy clustering for feature vector normalization
In content-based image retrieval using combine multiple low-level features or deep learning features, data imbalance after normalization often...
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Two-layer content-based image retrieval technique for improving effectiveness
Content-based image retrieval (CBIR) is an automated process that seeks to retrieve similar/closer images from a large-scale image collection by...
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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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Content-based image retrieval using handcraft feature fusion in semantic pyramid
The main challenge of image retrieval systems is to retrieve similar samples in a way that can be interpreted in a semantic relationship with the...
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Content-based medical image retrieval using fractional Hartley transform with hybrid features
Content-Based Medical Image Retrieval is used to extract meaningful information from a large number of medical images. To extract image texture...
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Optoelectronic device based failure management using content based multispectral image retrieval and deep learning model
The need for optoelectronic devices is growing right now, but the production of these devices is having a difficult time kee** up with the...
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Content-based image retrieval through fusion of deep features extracted from segmented neutrosophic using depth map
The main challenge of content-based image retrieval systems is the difference between how images are described using algorithms and how humans...
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Innovative local texture descriptor in joint of human-based color features for content-based image retrieval
Image retrieval is one of the hot research topics in computer vision which has been paid much attention by researchers in the last decade. Image...
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Evaluation of retrieval accuracy and visual similarity in content-based image retrieval of chest CT for obstructive lung disease
The aim of our study was to assess the performance of content-based image retrieval (CBIR) for similar chest computed tomography (CT) in obstructive...
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An effective and efficient framework of content-based similarity retrieval of large CT image sequences based on WSLEN model
The rapid development of medical imaging diagnostic technology makes high-definition CT image sequence( CIS )s more and more important for clinical...
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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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Content-based image retrieval of Indian traditional textile motifs using deep feature fusion
In the fast-paced fashion world, unique designs are like early birds, grabbing attention as online shop** surges. Fabric texture plays an immense...
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A powerful method for interactive content-based image retrieval by variable compressed convolutional info neural networks
There is a need for efficient methods to retrieve and obtain the visual data that a client need. New methods for content-based image retrieval (CBIR)...
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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...
