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pro vyhledávání: '"Ivan Bartolec"'
With significant growth in video streaming services, coupled with widespread use of traffic encryption, network operators are faced with the challenge of monitoring Key Performance Indicators (KPI) needed to detect quality impairments and drive Quali
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ead174c53f100a08d9f63d6dc73a2881
https://www.bib.irb.hr/1199118
https://www.bib.irb.hr/1199118
Autor:
Ivan Bartolec
Publikováno v:
Proceedings of the 12th ACM Multimedia Systems Conference
Our research will look into realistic end-user service usage behavior patterns and their corresponding implications on the in-network Quality of Experience (QoE) monitoring for HTTP adaptive video streaming (HAS) services in wireless and mobile netwo
Publikováno v:
QoMEX
Solutions relying on machine learning (ML) models that address the challenge of in-network QoE estimation for HTTP adaptive video streaming often neglect user behavior and its impact on performance estimation. End user playback-related interactions i
Publikováno v:
QoMEX
Telepresence robots (TPRs) are versatile, remotely controlled vehicles that enable physical presence and human-to-human interaction over a distance. Thanks to improving hardware and dropping price points, TPRs enjoy the growing interest in various in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6246d17198b955972effcd5dd47027b5
https://www.bib.irb.hr/1112687
https://www.bib.irb.hr/1112687
Autor:
Minh Nguyen, Lucas Torrealba A., Paniz Parastar, Ekrem Cetinkaya, Ivan Bartolec, Jesus Aguilar Armijo
Publikováno v:
ACM SIGMultimedia Records. 13:1-1
The 12th ACM Multimedia Systems Conference (MMSys'21) happened from September 28th through October 1st, 2021. The MMSys conference is an important forum for researchers in multimedia systems. But, due to the ongoing pandemic, the event was held in a
Publikováno v:
QoMEX
Recent research efforts have addressed the challenge of estimating HTTP adaptive video streaming Quality of Experience (QoE) and Key Performance Indicators (KPIs) from a network provider perspective, commonly relying on machine learning models and th
Publikováno v:
ACM SIGMultimedia Records. 12:1-1
This article provides insights towards the Telepresence Robot (TPR) QoE research agenda and summarizes the findings of a TPR QoE study as provided in H. Z. Jahromi, I. Bartolec, E. Gamboa, A. Hines and R. Schatz, "You Drive Me Crazy! Interactive QoE