Anatoliy Zabrovskiy
Titel
Zitiert von
Zitiert von
Jahr
Multi-Codec DASH Dataset
CFCT Anatoliy Zabrovskiy
http://arxiv.org/abs/1803.06874, 2018
20*2018
AdViSE: Adaptive Video Streaming Evaluation Framework for the Automated Testing of Media Players
A Zabrovskiy, E Kuzmin, E Petrov, C Timmerer, C Mueller
Proceedings of the 8th ACM on Multimedia Systems Conference, 217-220, 2017
182017
Emulation of dynamic adaptive streaming over HTTP with Mininet
A Zabrovskiy, E Kuzmin, E Petrov, M Fomichev
2016 18th Conference of Open Innovations Association and Seminar on …, 2016
142016
Evaluation of the Performance of Adaptive HTTP Streaming Systems
A Zabrovskiy, E Petrov, E Kuzmin, C Timmerer
arXiv preprint arXiv:1710.02459, 2017
92017
Критерий оценки качества образовательных мультимедийных потоков, транслируемых в реальном режиме времени
АЛ Забровский
Труды Карельского научного центра Российской академии наук, 2013
72013
A practical evaluation of video codecs for large-scale http adaptive streaming services
A Zabrovskiy, C Feldmann, C Timmerer
2018 25th IEEE International Conference on Image Processing (ICIP), 998-1002, 2018
62018
Система моделирования сетевых помех мультимедийных потоков
АА Рогов, АЛ Забровский
Информационно-управляющие системы, 2013
62013
Tile-based Streaming of 8K Omnidirectional Video: Subjective and Objective QoE Evaluation
R Schatz, A Zabrovskiy, C Timmerer
2019 Eleventh International Conference on Quality of Multimedia Experience …, 2019
42019
Quality of Experience of Commercially Deployed Adaptive Media Players
C Timmerer, A Zabrovskiy, E Kuzmin, E Petrov
Proceedings of the 21st Conference of Open Innovations Association FRUCT …, 2017
42017
Automated Performance Evaluation of Adaptive HTML5 Player Deployments
A Zabrovskiy, E Petrov, E Kuzmin, C Timmerer
Proceedings of the 21st Conference of Open Innovations Association FRUCT …, 2017
32017
Automating QoS and QoE Evaluation of HTTP Adaptive Streaming Systems
C Timmerer, A Zabrovskiy
ZTE Communications 17 (1), 18-24, 2019
22019
Docker-Based Evaluation Framework for Video Streaming QoE in Broadband Networks
C Midoglu, A Zabrovskiy, O Alay, D Hoelbling-Inzko, C Griwodz, ...
Proceedings of the 27th ACM International Conference on Multimedia, 2288-2291, 2019
22019
Automated objective and subjective evaluation of HTTP adaptive streaming systems
C Timmerer, A Zabrovskiy, A Begen
2018 IEEE Conference on Multimedia Information Processing and Retrieval …, 2018
22018
ComplexCTTP: complexity class based transcoding time prediction for video sequences using artificial neural network
A Zabrovskiy, P Agrawal, R Mathá, C Timmerer, R Prodan
2020 IEEE Sixth International Conference on Multimedia Big Data (BigMM), 316-325, 2020
12020
FastTTPS: fast approach for video transcoding time prediction and scheduling for HTTP adaptive streaming videos
P Agrawal, A Zabrovskiy, A Ilangovan, C Timmerer, R Prodan
Cluster Computing, 1-17, 2020
2020
Automated bank cheque verification using image processing and deep learning methods
P Agrawal, D Chaudhary, V Madaan, A Zabrovskiy, R Prodan, D Kimovski, ...
Multimedia Tools and Applications, 1-32, 2020
2020
CAdViSE: cloud-based adaptive video streaming evaluation framework for the automated testing of media players
B Taraghi, A Zabrovskiy, C Timmerer, H Hellwagner
Proceedings of the 11th ACM Multimedia Systems Conference, 349-352, 2020
2020
A prototype of Mininet-based system EmStream for emulation of Dynamic Adaptive Streaming over HTTP
A Zabrovskiy, E Petrov, E Kuzmin, M Fomichev, N Sokolova
19th Conference of Open Innovations Association and Seminar on Information …, 2016
2016
Das System kann den Vorgang jetzt nicht ausführen. Versuchen Sie es später erneut.
Artikel 1–18