Skup podataka
OTT video streaming dataset containing user interactions: Impact of User Playback Interactions on In-Network Estimation of Video Streaming Performance
Fakultet elektrotehnike i računarstva, 2022. https://doi.org/10.1109/TNSM.2022.3180114
Bartolec, Ivan; Oršolić, Irena; Skorin-Kapov, Lea

 Skup podataka
Skup podataka: abandon.csv, 570.38 MB
Pravo pristupa: Otvoren pristup

Skup podataka: pause.csv, 1.43 GB
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Skup podataka: seek.csv, 699.36 MB
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Skup podataka: nointeraction.csv, 1.38 GB
Pravo pristupa: Otvoren pristup

Dokumentacija: supplementary_material.pdf, 639.9 KB
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Institucijski repozitorij: Repozitorij FER-a

Citirajte ovaj rad

Bartolec, I., Oršolić, I. i Skorin Kapov, L. (2022). OTT video streaming dataset containing user interactions: Impact of User Playback Interactions on In-Network Estimation of Video Streaming Performance [Skup podataka]. doi:10.1109/TNSM.2022.3180114

Bartolec, Ivan, et al. OTT video streaming dataset containing user interactions: Impact of User Playback Interactions on In-Network Estimation of Video Streaming Performance. Fakultet elektrotehnike i računarstva, 2022. 21.01.2025. doi:10.1109/TNSM.2022.3180114

Bartolec, Ivan, Irena Oršolić, i Lea Skorin Kapov. 2022. OTT video streaming dataset containing user interactions: Impact of User Playback Interactions on In-Network Estimation of Video Streaming Performance. Fakultet elektrotehnike i računarstva. doi:10.1109/TNSM.2022.3180114

Bartolec, I., Oršolić, I. i Skorin Kapov, L. 2022. OTT video streaming dataset containing user interactions: Impact of User Playback Interactions on In-Network Estimation of Video Streaming Performance. Fakultet elektrotehnike i računarstva. [Online]. [Citirano 21.01.2025.]. Preuzeto s: https://doi.org/10.1109/TNSM.2022.3180114

Bartolec I, Oršolić I, Skorin Kapov L. OTT video streaming dataset containing user interactions: Impact of User Playback Interactions on In-Network Estimation of Video Streaming Performance. [Internet]. Fakultet elektrotehnike i računarstva: Zagreb, HR; 2022, [pristupljeno 21.01.2025.] Dostupno na: https://doi.org/10.1109/TNSM.2022.3180114

I. Bartolec, I. Oršolić i L. Skorin Kapov, OTT video streaming dataset containing user interactions: Impact of User Playback Interactions on In-Network Estimation of Video Streaming Performance, Fakultet elektrotehnike i računarstva, 2022. Citirano: 21.01.2025. Dostupno na: https://doi.org/10.1109/TNSM.2022.3180114

Naslov (engleski)OTT video streaming dataset containing user interactions: Impact of User Playback Interactions on In-Network Estimation of Video Streaming Performance
AutorIvan Bartolec
University of Zagreb Faculty of Electrical Engineering and Computing
AutorIrena Oršolić
University of Zagreb Faculty of Electrical Engineering and Computing
AutorLea Skorin-Kapov
University of Zagreb Faculty of Electrical Engineering and Computing
Znanstveno / umjetničko
područje, polje i grana		TEHNIČKE ZNANOSTI
Računarstvo
Umjetna inteligencija
Sažetak (engleski)
The dataset contains network traffic statistics and ground-truth application-layer data corresponding to 7424 video sessions from the global OTT video streaming provider. The data was collected while streaming videos using the application on an Android device under network conditions emulated based on real network bandwidth logs. In total, 2030 videos had no user interactions executed during playback, 1749 videos were paused once during playback, 1808 videos were seeked forward at one point during playback, and 1837 videos were terminated before the video ended.
Metodologija (engleski)We developed a framework for automated network- and application-layer data collection for adaptive video streaming services on mobile devices, which includes a user behavior simulation function, in order to collect large amounts of data with user interactions. The framework is used to automatically stream videos with the option of computer-assisted execution of various user interactions at random or predefined points during video playback. The laboratory testbed is designed to enable complete control over the data collection process: easy access to application- and network-layer data, automated video stream initiation, simulation of user interactions, and manipulation of network conditions.
Ključne riječi (engleski)
Jezikengleski
DOIhttps://doi.org/10.1109/TNSM.2022.3180114
URN:NBNurn:nbn:hr:168:201153
Datum objave2022-07-21
GeolokacijaZagreb, Hrvatska
ProjektŠifra: IP-2019-04-9793
Naziv (hrvatski): Modeliranje i praćenje iskustvene kvalitete imerzivnih višemedijskih usluga u 5G mrežama
Naziv (engleski): Modeling and Monitoring QoE for Immersive 5G-Enabled Multimedia Services
Kratica: Q-MERSIVE
Voditelj: Lea Skorin-Kapov
Pravna nadležnost: Hrvatska
Financijer: HRZZ
Linija financiranja: IP
Vanjski povezani objektHas part: DOI 10.1109/TNSM.2022.3180114
IzdavačFakultet elektrotehnike i računarstva
Faculty of Electrical Engineering and Computing
Prava pristupaOtvoreni pristup
Uvjeti korištenjaIkona licence Zaštićeno autorskim pravom.
Datum i vrijeme pohrane2022-07-21 14:52:14