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 …
Content-based image retrieval using color, shape and texture descriptors and features
MK Alsmadi - Arabian Journal for Science and Engineering, 2020 - Springer
Due to the recent technology development, the multimedia complexity is noticeably
increased and new research areas are opened relying on similar multimedia content …
increased and new research areas are opened relying on similar multimedia content …
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 …
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 …
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 …
V3C1 dataset: an evaluation of content characteristics
In this work we analyze content statistics of the V3C1 dataset, which is the first partition of
theVimeo Creative Commons Collection (V3C). The dataset has been designed to represent …
theVimeo Creative Commons Collection (V3C). The dataset has been designed to represent …
An effective bi-layer content-based image retrieval technique
SF Salih, AA Abdulla - The Journal of Supercomputing, 2023 - Springer
Every second, millions of users across the world share and download an enormous quantity
of multimedia content produced by different image capture devices. The substantial amount …
of multimedia content produced by different image capture devices. The substantial amount …
Image compression using HAAR discrete wavelet transform
H Kanagaraj, V Muneeswaran - 2020 5th international …, 2020 - ieeexplore.ieee.org
Image Compression aims at minimal the Storage and for the easy transmission Without
affecting pictures quality. In this paper HAAR wavelet based Discrete Wavelet Transform …
affecting pictures quality. In this paper HAAR wavelet based Discrete Wavelet Transform …
An effective image retrieval based on optimized genetic algorithm utilized a novel SVM-based convolutional neural network classifier
MJJ Ghrabat, G Ma, IY Maolood, SS Alresheedi… - … -centric Computing and …, 2019 - Springer
Image retrieval is the process of retrieving images from a database. Certain algorithms have
been used for traditional image retrieval. However, such retrieval involves certain limitations …
been used for traditional image retrieval. However, such retrieval involves certain limitations …