A Survey of Multimedia Technologies and Robust Algorithms

TL;DR

This survey reviews current multimedia technologies and robust algorithms across various applications, highlighting recent advances and proposing future research directions in the field.

Contribution

It provides a comprehensive overview of multimedia technologies and robust algorithms, and suggests future research directions based on current trends.

Findings

Multimedia technologies are increasingly practical and deployable.

Robust algorithms are widely used in diverse multimedia applications.

The survey identifies key future research directions.

Abstract

Multimedia technologies are now more practical and deployable in real life, and the algorithms are widely used in various researching areas such as deep learning, signal processing, haptics, computer vision, robotics, and medical multimedia processing. This survey provides an overview of multimedia technologies and robust algorithms in multimedia data processing, medical multimedia processing, human facial expression tracking and pose recognition, and multimedia in education and training. This survey will also analyze and propose a future research direction based on the overview of current robust algorithms and multimedia technologies. We want to thank the research and previous work done by the Multimedia Research Centre (MRC), the University of Alberta, which is the inspiration and starting point for future research.