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Son Nguyen-Quang

dblp:26/2088 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2000
—ORCID · none

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

Computer networks · 1

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 measurement and analytics · 50% Network performance modeling · 50%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Multimedia systems and quality of experience › multimedia communication
video traffic modeling
0.012000
A gamma-based framework for modeling variable-rate MPEG video sources: the GOP GBAR model · IEEE/ACM Trans. Netw. 2000
Network measurement and analytics
traffic characterization
0.012000
A gamma-based framework for modeling variable-rate MPEG video sources: the GOP GBAR model · IEEE/ACM Trans. Netw. 2000
Network performance modeling › traffic modeling
video source modeling
0.012000
A gamma-based framework for modeling variable-rate MPEG video sources: the GOP GBAR model · IEEE/ACM Trans. Netw. 2000

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

gamma-beta auto-regression · 0.1GOP GBAR model · 0.1
YearPublicationVenuePosition
2000 A gamma-based framework for modeling variable-rate MPEG video sources: the GOP GBAR model
abstract
A flexible model called the group-of-pictures gamma-beta auto-regression (GOP GBAR) model based on gamma-distributed variables is proposed for variable-rate MPEG video sources. This model is an extension of Heyman's (see IEEE/ACM Trans. Networking, vol.5, p.554-60, 1997) GBAR model for video teleconferencing. The GOP GBAR model explicitly accounts for MPEG GOP cyclicity and has convenient analytical properties with easily estimated parameters. Possible extensions of the GOP GBAR model are proposed to capture special features of MPEG video.
Michael Frey, Son Nguyen-Quang
IEEE/ACM Trans. Netw.2