Paper Info
Title
Experimental Study of Video Fusion for Multi-View Video Streaming in Mobile Media Cloud
Abstract
Nowadays, mobile users are not just content with a quick access to Internet when they are watching various types of videos, but also expecting a better video viewing experience. The reality is that decoding videos will consume very large resources of mobile devices. However, the resources of mobile devices are limited in terms of CPU, the main memory and so on, which impedes the performance enhancement. Fortunately, the emergence of mobile media cloud makes it possible to lighten decoding load on mobile devices. Cloud computing has an outstanding performance in rendering diverse services, strong computation ability, and great storage capacity in a relatively lower cost, which provides an effective channel out for the present dilemma. In this paper, we focus on the experimental study of video fusion method for multi-view video streaming under mobile media cloud environment. Firstly, we conduct a large quantity of collection experiments and find that decoding load of videos follows the power function model, which demonstrates that video fusion of multi-view videos at cloud side may effectively reduce the CPU usage of decoding at mobile side. Secondly, we further quantify the condition when the video fusion method can reduce the CPU usage of mobile devices along with its corresponding reduction rates.
Year
DOI
Venue
2018
10.1109/MobileCloud.2018.00020
2018 6th IEEE International Conference on Mobile Cloud Computing, Services, and Engineering (MobileCloud)
Keywords
Field
DocType
mobile media cloud,video fusion,optimization conditions,multi view video streaming
Central processing unit,Mobile media,Computer science,Communication channel,Real-time computing,Mobile device,Decoding methods,Rendering (computer graphics),The Internet,Cloud computing
Conference
ISSN
ISBN
Citations 
2573-7554
978-1-5386-4880-3
0
PageRank 
References 
Authors
0.34
12
6
Name
Order
Citations
PageRank
Jie Wang100.34
Shuquan Yang200.34
Weizhan Zhang310118.64
Junquan Liu400.34
Xie Kong500.34
Qinghua Zheng61261160.88