Name
Title | ||
|---|---|---|
Cloud rendering learning platform technology research for visual analysis of large scale 3D multimedia data |
Abstract | ||
|---|---|---|
This paper designs and implements a cloud rendering system. The system supports application of server cluster load balancing, static extension of rendering machine, and design architecture of parallel task scheduling. At the same time, we put forward a new design idea, and we implement a set of communication rules of multi-task renderer and cloud rendering system. On the system, users could browse 3D scene online by mobile terminal equipments. The task of PC terminal users and mobile terminal users to access remote scenes could be high speed and real-time rendering by this system. In the end of this paper, we analyze the efficiency of our algorithm. Our system can achieve a better effect on the number of concurrent users and the average response delay. The average frame rate of system can reach 30–40 frames per second. Experimental results show that the proposed algorithm performs favorably against the state-of-the-art methods on the public test datasets. |
Year | DOI | Venue |
|---|---|---|
2020 | 10.1007/s11042-018-6569-1 | Multimedia Tools and Applications |
Keywords | Field | DocType |
Cloud rendering, 3D scene, Big data, Machine learning, Mobile internet | Computer vision,Virtual learning environment,Computer science,Scheduling (computing),Load balancing (computing),Real-time computing,Frame rate,Artificial intelligence,Rendering (computer graphics),Big data,Computer cluster,Cloud computing | Journal |
Volume | Issue | ISSN |
79 | 7-8 | 1573-7721 |
Citations | PageRank | References |
0 | 0.34 | 19 |
Authors | ||
8 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ronghe Wang | 1 | 0 | 0.68 |
| Bo Zhang | 2 | 328 | 42.62 |
| Jianning Bi | 3 | 0 | 0.34 |
| Xinhai Zhang | 4 | 0 | 1.01 |
| Xiaolei Guo | 5 | 0 | 0.34 |
| Dong Jiao | 6 | 0 | 0.34 |
| Jianghua Lv | 7 | 2 | 1.71 |
| Shilong Ma | 8 | 157 | 30.32 |