Content‐Based Image Retrieval and Feature Extraction: A Comprehensive Review
Multimedia content analysis is applied in different real‐world computer vision applications,
and digital images constitute a major part of multimedia data. In last few years, the …
and digital images constitute a major part of multimedia data. In last few years, the …
Scene semantic recognition based on modified fuzzy C-mean and maximum entropy using object-to-object relations
With advances in machine vision systems (eg, artificial eye, unmanned aerial vehicles,
surveillance monitoring) scene semantic recognition (SSR) technology has attracted much …
surveillance monitoring) scene semantic recognition (SSR) technology has attracted much …
An effective hybrid framework for content based image retrieval (CBIR)
In recent years, we have witnessed a massive growth in the generation of images on the
cyberspace which demands to develop automated solutions for effective content …
cyberspace which demands to develop automated solutions for effective content …
Image classification by combining local and global features
L Kabbai, M Abdellaoui, A Douik - The Visual Computer, 2019 - Springer
Several techniques have recently been proposed to extract the features of an image.
Feature extraction is one of the most important steps in various image processing and …
Feature extraction is one of the most important steps in various image processing and …
A hybrid geometric spatial image representation for scene classification
The recent development in the technology has increased the complexity of image contents
and demand for image classification becomes more imperative. Digital images play a vital …
and demand for image classification becomes more imperative. Digital images play a vital …
Intelligent image classification-based on spatial weighted histograms of concentric circles
As digital images play a vital role in multimedia content, the automatic classification of
images is an open research problem. The Bag of Visual Words (BoVW) model is used for …
images is an open research problem. The Bag of Visual Words (BoVW) model is used for …
Image classification by addition of spatial information based on histograms of orthogonal vectors
The Bag-of-Visual-Words (BoVW) model is widely used for image classification, object
recognition and image retrieval problems. In BoVW model, the local features are quantized …
recognition and image retrieval problems. In BoVW model, the local features are quantized …
Modeling global geometric spatial information for rotation invariant classification of satellite images
The classification of high-resolution satellite images is an open research problem for
computer vision research community. In last few decades, the Bag of Visual Word (BoVW) …
computer vision research community. In last few decades, the Bag of Visual Word (BoVW) …
In-vehicle augmented reality system to provide driving safety information
Improving traffic safety is one of the important goals of intelligent transportation systems.
Traffic signs play a very vital role in safe driving and in avoiding accidents by informing the …
Traffic signs play a very vital role in safe driving and in avoiding accidents by informing the …
The novel sensor network structure for classification processing based on the machine learning method of the ACGAN
Y Chen, J Tao, J Wang, X Chen, J Xie, J Xiong, K Yang - Sensors, 2019 - mdpi.com
To address the problem of unstable training and poor accuracy in image classification
algorithms based on generative adversarial networks (GAN), a novel sensor network …
algorithms based on generative adversarial networks (GAN), a novel sensor network …