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Media Production Using Cloud and Edge Computing: Recent Progress and NBMP-Based Implementation

delete2022-06-01
delete6
PRE
AI
Y
Yiling Xu *
J
Jiaoyang Yin
Q
Qi Yang
L
Le Yang
G
Gower, Andrew Peter
DOI:10.1109/TBC.2022.3140704delete
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Abstract

Abstract

En 中文
Media production is facing tremendous challenges during processing and transmission, due to large data volume, high computational complexity and real-time transmission requirement. Hence, more and more media servers tend to spread media content in a distributed manner, over e.g., cloud platform or edge computing nodes, which are closer to client side and/or have adequate computing capacity. Benefiting from cloud or edge computing, users can receive various media service with high quality and low latency. Network-based Media Processing (NBMP) established by International Organization for Standardization (ISO)/International Electrotechnical Commission (IEC) standard organization-Moving Picture Experts Group (MPEG), is one of these representative distributed architectures, which has attracted a wide range of attention. This paper focuses on emerging cloud and edge computation for media production to highlight the necessity of adopting a distributed computing framework. We take NBMP architecture as an example, and introduce the basic components and workflow in distributed processing frameworks. Moreover, we also provide related application instances based on NBMP with the hope of promoting future development of cloud and edge computation.
Keywords:
Media
Real-time systems
Production
Streaming media
Graphics processing units
Distributed databases
Computer architecture
MPEG
NBMP
cloud computing
edge computing
distributed applications

Journal

IEEE Transactions on Broadcasting cover
IEEE Transactions on Broadcasting
IF:
4.8
Papers:
2.1K
Citations:
3.0K

Organization

S
shanghai jiao tong university
Scholars:
15.7W
Papers: 11.7W
Citations: 159
B
british telecom (bt)
Scholars:
112
Papers: 101
Citations: 0
U
University of Canterbury
Scholars:
6.9K
Papers: 7.1K
Citations: 7.8K
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