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 …
Facial emotion recognition using convolutional neural networks (FERC)
N Mehendale - SN Applied Sciences, 2020 - Springer
Facial expression for emotion detection has always been an easy task for humans, but
achieving the same task with a computer algorithm is quite challenging. With the recent …
achieving the same task with a computer algorithm is quite challenging. With the recent …
Satellite and scene image classification based on transfer learning and fine tuning of ResNet50
Image classification has gained lot of attention due to its application in different computer
vision tasks such as remote sensing, scene analysis, surveillance, object detection, and …
vision tasks such as remote sensing, scene analysis, surveillance, object detection, and …
A survey on deep learning-driven remote sensing image scene understanding: Scene classification, scene retrieval and scene-guided object detection
As a fundamental and important task in remote sensing, remote sensing image scene
understanding (RSISU) has attracted tremendous research interest in recent years. RSISU …
understanding (RSISU) has attracted tremendous research interest in recent years. RSISU …
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 …
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 …
Song recommendation using mood detection with Xception model
D Mukherjee, I Raj, S Mishra - … and Soft Computing: Proceeding of CISC …, 2022 - Springer
Face recognition technology has already a huge following due to its unlimited applications
and values with huge market potential. It is being implemented in various fields like security …
and values with huge market potential. It is being implemented in various fields like security …
COVID-19 vaccines related user's response categorization using machine learning techniques
Respiratory viruses known as coronaviruses infect people and cause death. The multiple
crown-like spikes on the virus's surface give them the name “corona”. The pandemic has …
crown-like spikes on the virus's surface give them the name “corona”. The pandemic has …
Text augmentation using BERT for image captioning
V Atliha, D Šešok - Applied Sciences, 2020 - mdpi.com
Image captioning is an important task for improving human-computer interaction as well as
for a deeper understanding of the mechanisms underlying the image description by human …
for a deeper understanding of the mechanisms underlying the image description by human …