Fatemeh Nikoonezhad

dblp:356/6737 · DBLP profile ↗
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1ranked-venue papers
1as first author
1since 2021 · last 2023
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 1 · 1 first-author · 1 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer graphics and multimedia
1 paper
Multimedia systems and quality of experience · 100%
Computer networks
1 paper
Network optimization and economics · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Multimedia systems and quality of experience
video quality of experience
0.712023
PRAM: Penalized Resource Allocation Method for Video Services · IEEE Trans. Multim. 2023
Network optimization and economics
resource allocation
0.712023
PRAM: Penalized Resource Allocation Method for Video Services · IEEE Trans. Multim. 2023

Methods — techniques the papers use, named apart from their topics

subjective quality modeling · 1.3multiplexing buffer analysis · 1.3
YearPublicationVenuePosition
2023 PRAM: Penalized Resource Allocation Method for Video Services
abstract
The human visual system response to picture quality degradation due to packet loss is very different from the responses of objective quality measures. While video quality due to packet loss may be impaired by at most for one Group of Pictures (GOP), its subjective quality degradation may last for several GOPs. This has a great impact on resource allocation strategies, which normally make decisions on instantaneous conditions of multiplexing buffer. This is because, when the perceptual impact of degraded video quality is much longer than its objective degradation period, any assigned resources to the degraded flow is wasted. This paper, through both simulations and analysis shows that, during resource allocation, if the quality of a video stream is significantly degraded, it is better to penalize this degraded flow from getting its full bandwidth share and instead assign the remaining share to other flows preventing them from undergoing quality degradation.
Fatemeh Nikoonezhad, Mohammed Ghanbari 0001
IEEE Trans. Multim.1