Comprehensive survey of image steganography: Techniques, Evaluations, and trends in future research

IJ Kadhim, P Premaratne, PJ Vial, B Halloran - Neurocomputing, 2019 - Elsevier
Storing and communicating secret and/or private information has become part of our daily
life whether it is for our employment or personal well-being. Therefore, secure storage and …

Effects of distance measure choice on k-nearest neighbor classifier performance: a review

HA Abu Alfeilat, ABA Hassanat, O Lasassmeh… - Big data, 2019 - liebertpub.com
The K-nearest neighbor (KNN) classifier is one of the simplest and most common classifiers,
yet its performance competes with the most complex classifiers in the literature. The core of …

[图书][B] Augmented reality: Where we will all live

J Peddie - 2017 - Springer
This book provides an in-depth exploration of the field of augmented reality (AR) in its
entirety and sets out to distinguish AR from other inter-related technologies like virtual reality …

Distance and similarity measures effect on the performance of K-nearest neighbor classifier--a review

VB Prasath, HAA Alfeilat, A Hassanat… - arXiv preprint arXiv …, 2017 - arxiv.org
The K-nearest neighbor (KNN) classifier is one of the simplest and most common classifiers,
yet its performance competes with the most complex classifiers in the literature. The core of …

Depth-based hand pose estimation: data, methods, and challenges

JS Supancic, G Rogez, Y Yang… - Proceedings of the …, 2015 - openaccess.thecvf.com
Hand pose estimation has matured rapidly in recent years. The introduction of commodity
depth sensors and a multitude of practical applications have spurred new advances. We …

Robust Distance Measures for kNN Classification of Cancer Data

R Ehsani, F Drabløs - Cancer informatics, 2020 - journals.sagepub.com
The k-Nearest Neighbor (k NN) classifier represents a simple and very general approach to
classification. Still, the performance of k NN classifiers can often compete with more complex …

High capacity adaptive image steganography with cover region selection using dual-tree complex wavelet transform

IJ Kadhim, P Premaratne, PJ Vial - Cognitive Systems Research, 2020 - Elsevier
The importance of image steganography is unquestionable in the field of secure multimedia
communication. Imperceptibility and high payload capacity are some of the crucial parts of …

Depth-based hand pose estimation: methods, data, and challenges

JS Supančič, G Rogez, Y Yang, J Shotton… - International Journal of …, 2018 - Springer
Hand pose estimation has matured rapidly in recent years. The introduction of commodity
depth sensors and a multitude of practical applications have spurred new advances. We …

Perspective and evolution of gesture recognition for sign language: A review

J Galván-Ruiz, CM Travieso-González… - Sensors, 2020 - mdpi.com
This review analyses the different gesture recognition systems through a timeline, showing
the different types of technology, and specifying which are the most important features and …

Improved image steganography based on super-pixel and coefficient-plane-selection

IJ Kadhim, P Premaratne, PJ Vial - Signal Processing, 2020 - Elsevier
Coverless steganographic techniques are considered as reliable solutions for avoiding
steganalysis attacks. However, it demands massive shared databases and usually has low …