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 …
Remote sensing image classification: A comprehensive review and applications
Remote sensing is mainly used to investigate sites of dams, bridges, and pipelines to locate
construction materials and provide detailed geographic information. In remote sensing …
construction materials and provide detailed geographic information. In remote sensing …
Deep reinforcement learning robot for search and rescue applications: Exploration in unknown cluttered environments
Rescue robots can be used in urban search and rescue (USAR) applications to perform the
important task of exploring unknown cluttered environments. Due to the unpredictable …
important task of exploring unknown cluttered environments. Due to the unpredictable …
Multi-modal medical image classification using deep residual network and genetic algorithm
Artificial intelligence (AI) development across the health sector has recently been the most
crucial. Early medical information, identification, diagnosis, classification, then analysis …
crucial. Early medical information, identification, diagnosis, classification, then analysis …
Image scene geometry recognition using low-level features fusion at multi-layer deep CNN
The image scene geometry recognition is an important element for reconstructing the 3D
scene geometry of a single image. It is useful for computer vision applications, such as 3D …
scene geometry of a single image. It is useful for computer vision applications, such as 3D …
Compare the performance of the models in art classification
W Zhao, D Zhou, X Qiu, W Jiang - Plos one, 2021 - journals.plos.org
Because large numbers of artworks are preserved in museums and galleries, much work
must be done to classify these works into genres, styles and artists. Recent technological …
must be done to classify these works into genres, styles and artists. Recent technological …
A novel discriminating and relative global spatial image representation with applications in CBIR
The requirement for effective image search, which motivates the use of Content-Based
Image Retrieval (CBIR) and the search of similar multimedia contents on the basis of user …
Image Retrieval (CBIR) and the search of similar multimedia contents on the basis of user …
Weakly supervised fruit counting for yield estimation using spatial consistency
E Bellocchio, TA Ciarfuglia… - IEEE Robotics and …, 2019 - ieeexplore.ieee.org
Fruit counting is a fundamental component for yield estimation applications. Most of the
existing approaches address this problem by relying on fruit models (ie, by using object …
existing approaches address this problem by relying on fruit models (ie, by using object …
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 …
Building discriminative features of scene recognition using multi-stages of inception-ResNet-v2
Scene recognition is a challenging problem due to intra-class variations and inter-class
similarities. Traditional methods and convolutional neural networks (CNN) represent the …
similarities. Traditional methods and convolutional neural networks (CNN) represent the …