Content‐Based Image Retrieval and Feature Extraction: A Comprehensive Review

A Latif, A Rasheed, U Sajid, J Ahmed… - Mathematical …, 2019 - Wiley Online Library
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 …

Remote sensing image classification: A comprehensive review and applications

M Mehmood, A Shahzad, B Zafar… - Mathematical …, 2022 - Wiley Online Library
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 …

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 …

Deep reinforcement learning robot for search and rescue applications: Exploration in unknown cluttered environments

F Niroui, K Zhang, Z Kashino… - IEEE Robotics and …, 2019 - ieeexplore.ieee.org
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 …

Satellite and scene image classification based on transfer learning and fine tuning of ResNet50

A Shabbir, N Ali, J Ahmed, B Zafar… - Mathematical …, 2021 - Wiley Online Library
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 …

Semantic Complete Scene Forecasting from a 4D Dynamic Point Cloud Sequence

Z Wang, Z Ye, H Wu, J Chen, L Yi - … of the AAAI Conference on Artificial …, 2024 - ojs.aaai.org
We study a new problem of semantic complete scene forecasting (SCSF) in this work. Given
a 4D dynamic point cloud sequence, our goal is to forecast the complete scene …

A novel discriminating and relative global spatial image representation with applications in CBIR

B Zafar, R Ashraf, N Ali, MK Iqbal, M Sajid, SH Dar… - Applied Sciences, 2018 - mdpi.com
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 …

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 …

Building discriminative features of scene recognition using multi-stages of inception-ResNet-v2

A Khan, A Chefranov, H Demirel - Applied Intelligence, 2023 - Springer
Scene recognition is a challenging problem due to intra-class variations and inter-class
similarities. Traditional methods and convolutional neural networks (CNN) represent the …

Modeling global geometric spatial information for rotation invariant classification of satellite images

N Ali, B Zafar, MK Iqbal, M Sajid, MY Younis, SH Dar… - PloS one, 2019 - journals.plos.org
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) …