Video Streaming Analysis in Vienna LTE System Level Simulator
Journal Title: EAI Endorsed Transactions on Creative Technologies - Year 2016, Vol 3, Issue 7
Abstract
The demand for multimedia services in mobile communication is increasing day by day due to the proliferation of end devices. To overcome the future needs of data communication on mobile devices, the $ 3^{rd} $ Generation Partnership Project (3GPP) has introduced a new technology which is known as Long Term Evolution (LTE) UMTS. In this paper, we study video streaming behavior on the LTE network. For this purpose, we use the Vienna LTE System Level Simulator which implements network features that correspond to our goal. We consider the parameters that may affect the users experience on a network and define ten scenarios for our simulations. We finally search for methods to fit the video streaming data traffic on the LTE network and exhibit its long range dependence.
Authors and Affiliations
Zakaria Ye, Tania Jimenez, Rachid El-Azouzi
A taxonomy of camera calibration and video projection correction methods
This paper provides a classification of calibration methods for cameras and projectors. From basic homography to complex geometric calibration methods, this paper aims at simplifying the choice of the methods to perform...
Mathematical Foundation Based Inter-Connectivity modelling of Thermal Image processing technique for Fire Protection
In this paper, integration between multiple functions of image processing and its statistical parameters for intelligent alarming series based fire detection system is presented. The proper inter-connectivity mapping bet...
A High Visual Quality Embedding Method in Edges Based on Pixel Pair Difference
In this paper, we proposed a new data hiding method based on diamond encoding (DE) and pixel pair difference (PPD). DE proposes a pixel-wise algorithm which flexibly embeds different base digits to maximize payload and i...
Upcoming Creative Events
No Abstract
Multi-GPU based framework for real-time motion analysis and tracking in multi-user scenarios
Video processing algorithms present a necessary tool for various domains related to computer vision such as motion tracking, event detection and localization in multi-user scenarios (crowd videos, mobile camera, scenes w...