Proceedings of the International Conference on Video and Image Processing 2017
DOI: 10.1145/3177404.3177448
|View full text |Cite
|
Sign up to set email alerts
|

An Automated Testbed for Video Quality Optimization over Lossy Networks

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2019
2019
2019
2019

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 4 publications
0
1
0
Order By: Relevance
“…Ala' Khalifeh et al (2017) studied on how the aforementioned parameters can be optimize, as a function of the network impairments. The study proposed an optimal video adaptation algorithm that gives the user the best video quality for a certain network conditions, which is of high importance especially in todays congested and lossy networks [9].…”
Section: Related Workmentioning
confidence: 99%
“…Ala' Khalifeh et al (2017) studied on how the aforementioned parameters can be optimize, as a function of the network impairments. The study proposed an optimal video adaptation algorithm that gives the user the best video quality for a certain network conditions, which is of high importance especially in todays congested and lossy networks [9].…”
Section: Related Workmentioning
confidence: 99%