Dataset
OTT video streaming dataset containing user interactions: Impact of User Playback Interactions on In-Network Estimation of Video Streaming Performance
Faculty of Electrical Engineering and Computing, 2022. https://doi.org/10.1109/TNSM.2022.3180114
Bartolec, Ivan; Oršolić, Irena; Skorin-Kapov, Lea

 Dataset
Dataset: abandon.csv, 570.38 MB
Access Condition: Open access

Dataset: pause.csv, 1.43 GB
Access Condition: Open access

Dataset: seek.csv, 699.36 MB
Access Condition: Open access

Dataset: nointeraction.csv, 1.38 GB
Access Condition: Open access

Documentation: supplementary_material.pdf, 639.9 KB
Access Condition: Open access

Institutional repository: FER Repository

Cite this document

Bartolec, I., Oršolić, 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 [Data set]. 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. 26 Nov 2024. doi:10.1109/TNSM.2022.3180114

Bartolec, Ivan, Irena Oršolić, and 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. and 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]. [Accessed 26 November 2024]. Available from: 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, [cited 2024 November 26] Available from: https://doi.org/10.1109/TNSM.2022.3180114

I. Bartolec, I. Oršolić and 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. Accessed on: Nov 26, 2024. Available: https://doi.org/10.1109/TNSM.2022.3180114

Title (english)OTT video streaming dataset containing user interactions: Impact of User Playback Interactions on In-Network Estimation of Video Streaming Performance
AuthorIvan Bartolec
University of Zagreb Faculty of Electrical Engineering and Computing
AuthorIrena Oršolić
University of Zagreb Faculty of Electrical Engineering and Computing
AuthorLea Skorin-Kapov
University of Zagreb Faculty of Electrical Engineering and Computing
Scientific / art field,
discipline and subdiscipline		TECHNICAL SCIENCES
Computing
Artificial Intelligence
Abstract (english)
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.
Methods (english)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.
Keywords (english)
Languageenglish
DOIhttps://doi.org/10.1109/TNSM.2022.3180114
URN:NBNurn:nbn:hr:168:201153
Publication2022-07-21
GeolocationZagreb, Croatia
ProjectNumber: IP-2019-04-9793
Title (croatian): Modeliranje i praćenje iskustvene kvalitete imerzivnih višemedijskih usluga u 5G mrežama
Title (english): Modeling and Monitoring QoE for Immersive 5G-Enabled Multimedia Services
Acronym: Q-MERSIVE
Leader: Lea Skorin-Kapov
Jurisdiction: Croatia
Funding stream: IP
External related objectHas part: DOI 10.1109/TNSM.2022.3180114
PublisherFakultet elektrotehnike i računarstva
Faculty of Electrical Engineering and Computing
Access conditionsOpen access
Terms of useLicence In copyright icon
Created on2022-07-21 14:52:14