Performance Study of AV1 Encoders and Presets for 360-degree Video in Virtual Reality
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F21%3APU140742" target="_blank" >RIV/00216305:26220/21:PU140742 - isvavai.cz</a>
Výsledek na webu
<a href="https://www.vutbr.cz/www_base/vutdisk.php?i=259675acd0" target="_blank" >https://www.vutbr.cz/www_base/vutdisk.php?i=259675acd0</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/RADIOELEKTRONIKA52220.2021.9420208" target="_blank" >10.1109/RADIOELEKTRONIKA52220.2021.9420208</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Performance Study of AV1 Encoders and Presets for 360-degree Video in Virtual Reality
Popis výsledku v původním jazyce
Recently, due to the pandemic of coronavirus (known as COVID-19), travel options for people are very limited. However, technology Virtual Reality (VR), one of the emerging fields in the multimedia services, can help to overcome these barriers. Providing of a VR-based video content in a form of online streaming has very high requirements on the network capacity. Hence, advanced video compression algorithms with high efficiency for delivery of a video in the format of VR are vital. In this paper, we present an objective-based performance study of different implementations of the AOMedia Video 1 (AV1) video codec for 360-degree videos with a resolution of UHD. Different quality presets that set the balance between the visual quality and encoding speed for the same bitrate are also considered. The Video Multimethod Assessment Fusion (VMAF) objective metric, developed by Netflix, is used to measure the quality of the video sequences. Results show that all the tested implementations of the AV1 encoder have a problem with the real-time encoding of the 360-degree videos.
Název v anglickém jazyce
Performance Study of AV1 Encoders and Presets for 360-degree Video in Virtual Reality
Popis výsledku anglicky
Recently, due to the pandemic of coronavirus (known as COVID-19), travel options for people are very limited. However, technology Virtual Reality (VR), one of the emerging fields in the multimedia services, can help to overcome these barriers. Providing of a VR-based video content in a form of online streaming has very high requirements on the network capacity. Hence, advanced video compression algorithms with high efficiency for delivery of a video in the format of VR are vital. In this paper, we present an objective-based performance study of different implementations of the AOMedia Video 1 (AV1) video codec for 360-degree videos with a resolution of UHD. Different quality presets that set the balance between the visual quality and encoding speed for the same bitrate are also considered. The Video Multimethod Assessment Fusion (VMAF) objective metric, developed by Netflix, is used to measure the quality of the video sequences. Results show that all the tested implementations of the AV1 encoder have a problem with the real-time encoding of the 360-degree videos.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
20201 - Electrical and electronic engineering
Návaznosti výsledku
Projekt
—
Návaznosti
S - Specificky vyzkum na vysokych skolach
Ostatní
Rok uplatnění
2021
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
International Conference Radioelektronika 2021
ISBN
978-0-7381-4436-8
ISSN
—
e-ISSN
—
Počet stran výsledku
4
Strana od-do
1-4
Název nakladatele
Vysoké učení technické v Brně
Místo vydání
Brno
Místo konání akce
Brno
Datum konání akce
19. 4. 2021
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
000676146400017