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Truong Cong Thang

Researcher at University of Aizu

Publications -  179
Citations -  2286

Truong Cong Thang is an academic researcher from University of Aizu. The author has contributed to research in topics: Video quality & Scalable Video Coding. The author has an hindex of 21, co-authored 173 publications receiving 1923 citations. Previous affiliations of Truong Cong Thang include Information and Communications University & Electronics and Telecommunications Research Institute.

Papers
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Journal ArticleDOI

Adaptive streaming of audiovisual content using MPEG DASH

TL;DR: A novel estimation method for connection throughput and a systematic method for selecting the best audio and video alternatives given the estimated throughput are presented.
Journal ArticleDOI

An Evaluation of Bitrate Adaptation Methods for HTTP Live Streaming

TL;DR: This paper investigates typical adaptation methods in the context of live video streaming and finds that the perceptual impact depends not only on adaptation method but also on the content itself.
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Mixed mmWave RF/FSO Relaying Systems Over Generalized Fading Channels With Pointing Errors

TL;DR: Novel accurate closed-form expressions for the cumulative distribution function, the probability density function, and the moment generating function (MGF) in terms of Meijer's G functions are derived from Monte-Carlo simulations of mixed millimeter-wave radio-frequency systems.
Journal ArticleDOI

Bit error rate analysis of rectangular QAM/FSO systems using an APD receiver over atmospheric turbulence channels

TL;DR: In this paper, the performance of free-space optical (FSO) systems using rectangular quadrature-amplitude modulation (QAM) and an avalanche photodiode (APD) receiver over atmospheric turbulence channels was theoretically analyzed.
Proceedings ArticleDOI

A subjective study on QoE of 360 video for VR communication

TL;DR: This is the first study that covers the quality of experience of 360 videos in terms of four aspects, namely perceptual quality, presence, acceptability, and cybersickness, and a comparison of perceptual quality and acceptability between VR and non-VR rendering modes.