Analysis of adaptative video streaming degradation based on clustering approach
[ 1 ] Instytut Sieci Teleinformatycznych, Wydział Informatyki i Telekomunikacji, Politechnika Poznańska | [ DW ] applied doctorate phd student | [ P ] employee
2022
chapter in monograph / paper
english
- over-the-top
- clustering
- unsupervised learning
EN Online clustering algorithms might be adopted to search the degradation events that occur on the set-top-box (STB) devices that are used by television operators. In adaptive streaming systems, the bitrate changes might be considered as quality changes. The series of bitrate changes can be detected by online or offline clustering algorithms that analyze logs in realtime. This paper introduces the clustering of events collected from the STB devices connected to INEA1 television system. The Mini Batch k-means and evoStream as well as K-means and BIRCH algorithms are used to cluster the events related to bitstream changes.
192 - 199
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