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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

Scientific discipline (Law 2.0)

[2.3] Information and communication technology

Year of publication


Chapter type

chapter in monograph / paper

Publication language


  • 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.

Pages (from - to)

192 - 199


Proceedings of the 39th International Business Information Management Association (IBIMA), part 3

Presented on

39th International Business Information Management Association Conference IBIMA 2022, 30-31.05.2022, Granada, Spain

Points of MNiSW / chapter


Points of MNiSW / conference (CORE)


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