Adaptive prediction methods for medical image/video compression for telemedicine application

KC Pathak, JN Sarvaiya, AD Darji - Research Anthology on …, 2021 - igi-global.com
Due to rapid development of multimedia communication and advancement of image
acquisition process, there is a crucial requirement of high storage and compression …

Power consumption and bandwidth savings with video transcoding to mobile device-specific spatial resolution

L Dragić, D Hofman, M Kovač, M Žagar… - 2014 9th International …, 2014 - ieeexplore.ieee.org
Usage of mobile devices for multimedia content playback is drowning the battery power
rapidly. High quality videos which are streamed from the internet are power consuming and …

Unified, multiple target, computer engineering learning platform

M Žagar, N Frid, J Knezović, D Hofman… - 2014 IEEE Global …, 2014 - ieeexplore.ieee.org
To overcome a complex and multidisciplinary approach which includes understanding of
various systems based on different technologies and system solution optimizations in …

Compression of fMRI data using wavelet tensor train decomposition

PV Kharyuk, IV Oseledets, VL Ushakov - Numerical methods and …, 2014 - mathnet.ru
The application of the Wavelet Tensor Train (WTT) decomposition to the compression of
functional magnetic resonance imaging (fMRI) data is considered. Contrary to the classical …

Data Compression as a Base for eHealth Interoperability: 3D FWT applied on Volumetric Neuroimages

M Žagar, B Mihaljević, J Knezović - Intelligent Analysis of Multimedia …, 2017 - igi-global.com
Abstract eHealth is a set of systems and services that enable the sharing of medical
diagnostic imaging data remotely. The application of eHealth solves the problem of the lack …

Сжатие фМРТ-данных с помощью WTT-преобразования

PV Kharyuk, IV Оseledets… - вычислительные методы …, 2014 - en.num-meth.ru
Рассмотрено применение Wavelet Tensor Train (WTT) разложения к наборам данных
функциональной магнитно-резонансной томографии (фМРТ) для их сжатия. В отличие …