Pregled bibliografske jedinice broj: 948556
Analysis of spatial and temporal information of DASH dataset
Analysis of spatial and temporal information of DASH dataset // Proceeding of 25th International Conference on Systems, Signals and Image Processing / Planinšić, Petar (ur.).
Maribor, 2018. 18, 5 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
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Naslov
Analysis of spatial and temporal information of DASH dataset
Autori
Vlaović, Jelena ; Galić, Irena ; Rimac-Drlje, Snježana
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceeding of 25th International Conference on Systems, Signals and Image Processing
/ Planinšić, Petar - Maribor, 2018
ISBN
978-1-5386-6978-5
Skup
25th International Conference on Systems, Signals and Image Processing (IWSSIP 2018)
Mjesto i datum
Maribor, Slovenija, 20.06.2018. - 22.06.2018
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Adaptive streaming ; DASH dataset ; PSNR ; spatial and temporal activity ; SSIM
Sažetak
In order to provide the end user with the best possible quality of requested video content, standard called MPEG Dynamic Adaptive Streaming over HTTP was developed. It defines a way of notifying the user that a variety of transmission streams of different qualities exist together with the information needed to select the appropriate transmission path. In order to analyze the quality of videos provided to users, Quality of Service and Quality of Experience parameters should be taken into account. In order to improve content segmentation as well as the selection of the best adaptation scenario, it is necessary to analyze the content itself. In this paper temporal and spatial activity are analyzed for three video resolutions and several bit rates. According to PSNR and SSIM results, spatial activity has high influence on the video quality and can be useful as a parameter in DASH dataset preparation in order to improve adaptation algorithms and thus users Quality of Experience.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek