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  5. Perceived quality of audio-visual stimuli containing streaming audio degradations
 
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Perceived quality of audio-visual stimuli containing streaming audio degradations

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Author(s)
Martinez, Helard 
Farias, Mylène C.Q. 
Hines, Andrew 
Uri
http://hdl.handle.net/10197/10543
Date Issued
07 September 2018
Date Available
20T13:08:29Z May 2019
Abstract
Multimedia services play an important role in modern human communication. Understanding the impact of multisensory input (audio and video) on perceived quality is important for optimizing the delivery of these services. This work explores the impact of audio degradations on audio-visual quality. With this goal, we present a new dataset that contains audio-visual sequences with distortions only in the audio component (ImAV-Exp2). The degradations in this new dataset correspond to commonly encountered streaming degradations, matching those found in the audio-only TCD-VoIP dataset. Using the Immersive Methodology, we perform a subjective experiment with the Im-AV-Exp2 dataset. We analyze the experimental data and compared the quality scores of the Im-AV-Exp2 and TCDVoIP datasets. Results show that the video component act as a masking factor for certain classes of audio degradations (e.g. echo), showing that there is an interaction of video and audio quality that may depend on content.
Other Sponsorship
Conselho Nacional de Desenvolvimento Cientfico e Tecnologico (CNPq)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
University of Brasília (UnB)
Type of Material
Conference Publication
Publisher
IEEE
Copyright (Published Version)
2018 EURASIP
Keywords
  • QoE

  • Audio-visual quality

  • VoIP

  • Immersive experimenta...

DOI
10.23919/EUSIPCO.2018.8553541
Web versions
http://www.eusipco2018.org/
Language
English
Status of Item
Peer reviewed
Part of
2018 26th European Signal Processing Conference (EUSIPCO)
Description
The 26th European Signal Processing Conference, Rome, Italy, 3-7 September 2018
ISBN
978-90-827970-1-5
This item is made available under a Creative Commons License
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
Owning collection
Computer Science Research Collection
Scopus© citations
2
Acquisition Date
Jan 27, 2023
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Jan 28, 2023
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