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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 10 Issue 7, 2019.
Abstract: Free Viewpoint TV is a system to view natural videos and allow users to control the viewpoint interactively. The main idea is that the users can switch between multiple video streams to find viewpoints of their own choice. The purpose of this research is to provide fast switching between video streams so that users experience less delay while viewpoint switching. In this paper, we discussed different stream switching methods in detail, including their transmission issues. In addition, we discussed various scenarios for fast stream switching in order to make services more interactive by minimizing delays. The quality of service is another factor which can be improved by assigning priorities to the packets. In addition, we discussed simultaneous stream transmission methods which are based on predictions and reduced quality streams for fast switching. Finally, we propose a prediction algorithm (Linear Regression) and system model for fast viewpoint switching and evaluate simultaneous stream transmission methods for free Viewpoint TV. The results indicate that the proposed system model improves the viewpoint switching and perform fast switching.
Mudassar Hussain, Abdurahman Hassan A Alhazmi, Rashid Amin, Muhammad Almas Anjum and Ali Tahir, “Simultaneous Stream Transmission Methods for Free Viewpoint TV: A Comparative Study” International Journal of Advanced Computer Science and Applications(IJACSA), 10(7), 2019. http://dx.doi.org/10.14569/IJACSA.2019.0100774
@article{Hussain2019,
title = {Simultaneous Stream Transmission Methods for Free Viewpoint TV: A Comparative Study},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2019.0100774},
url = {http://dx.doi.org/10.14569/IJACSA.2019.0100774},
year = {2019},
publisher = {The Science and Information Organization},
volume = {10},
number = {7},
author = {Mudassar Hussain and Abdurahman Hassan A Alhazmi and Rashid Amin and Muhammad Almas Anjum and Ali Tahir}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.