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Multi-profile ultra high definition (UHD) AVC and HEVC 4K DASH datasets.

, and . MMSys, page 375-380. ACM, (2018)

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DASHbed: a testbed framework for large scale empirical evaluation of real-time DASH in wireless scenarios., , , and . MMSys, page 285-290. ACM, (2019)DASH QoE Performance Evaluation Framework with 5G Datasets., , , , , and . CNSM, page 1-6. IEEE, (2020)Delivery of adaptive bit rate video: balancing fairness, efficiency and quality., , , and . LANMAN, page 1-6. IEEE, (2015)SAP: Stall-Aware Pacing for Improved DASH Video Experience in Cellular Networks., , , and . MMSys, page 13-26. ACM, (2017)Datasets for AVC (H.264) and HEVC (H.265) evaluation of dynamic adaptive streaming over HTTP (DASH)., , and . MMSys, page 51:1-51:6. ACM, (2016)Godash 2.0 - The Next Evolution of HAS Evaluation., , and . WoWMoM, page 185-187. IEEE, (2020)D-LiTE-ful: an evaluation platform for DASH QoE for SDN-enabled ISP offloading in LTE: demo., , , , and . WiNTECH, page 91-92. ACM, (2016)DI5GUISE: A highly Dynamic Framework for Real-Time Simulated 5G Evaluation., , and . LANMAN, page 1-2. IEEE, (2019)360 Video DASH Dataset., , , and . MMSys, page 391-396. ACM, (2023)D-LiTE: A platform for evaluating DASH performance over a simulated LTE network., , , , , and . LANMAN, page 1-2. IEEE, (2016)