Facial emotion recognition using conventional machine learning and deep learning methods: current achievements, analysis and remaining challenges
AR Khan - Information, 2022 - mdpi.com
Facial emotion recognition (FER) is an emerging and significant research area in the pattern
recognition domain. In daily life, the role of non-verbal communication is significant, and in …
recognition domain. In daily life, the role of non-verbal communication is significant, and in …
Content-based image retrieval: A review of recent trends
IM Hameed, SH Abdulhussain… - Cogent Engineering, 2021 - Taylor & Francis
With the availability of internet technology and the low-cost of digital image sensor,
enormous amount of image databases have been created in different kind of applications …
enormous amount of image databases have been created in different kind of applications …
Deep learning model integrating features and novel classifiers fusion for brain tumor segmentation
Automatic and precise segmentation and classification of tumor area in medical images is
still a challenging task in medical research. Most of the conventional neural network based …
still a challenging task in medical research. Most of the conventional neural network based …
Automated lung nodule detection and classification based on multiple classifiers voting
T Saba - Microscopy research and technique, 2019 - Wiley Online Library
Lung cancer is the most common cause of cancer‐related death globally. Currently, lung
nodule detection and classification are performed by radiologist‐assisted computer‐aided …
nodule detection and classification are performed by radiologist‐assisted computer‐aided …
Improve the efficiency of handcrafted features in image retrieval by adding selected feature generating layers of deep convolutional neural networks
G Shamsipour, S Fekri-Ershad, M Sharifi… - Signal, image and video …, 2024 - Springer
Today, with the rapid growth of communication technology and the development of social
networks and smartphones, the amount of data stored by users in the form of images has …
networks and smartphones, the amount of data stored by users in the form of images has …
A novel hybrid approach for a content-based image retrieval using feature fusion
S Sikandar, R Mahum, AM Alsalman - Applied Sciences, 2023 - mdpi.com
The multimedia content generated by devices and image processing techniques requires
high computation costs to retrieve images similar to the user's query from the database. An …
high computation costs to retrieve images similar to the user's query from the database. An …
Efficient content-based image retrieval using deep search and rescue algorithm
N Keisham, A Neelima - Soft Computing, 2022 - Springer
Recently, content-based image retrieval (CBIR) system seems to be very challenging in
research fields due to the growth of multimedia contents on the internet. Every day billions of …
research fields due to the growth of multimedia contents on the internet. Every day billions of …
Boosting the performance of the BoVW model using SURF–CoHOG-based sparse features with relevance feedback for CBIR
The content-based image retrieval (CBIR) based on sparse visual features is a challenging
research problem to categorize images into semantically meaningful classes. Different …
research problem to categorize images into semantically meaningful classes. Different …
CBIR using features derived by deep learning
S Maji, S Bose - ACM/IMS Transactions on Data Science (TDS), 2021 - dl.acm.org
In a Content-based Image Retrieval (CBIR) System, the task is to retrieve similar images
from a large database given a query image. The usual procedure is to extract some useful …
from a large database given a query image. The usual procedure is to extract some useful …
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 …