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Intense: In-Depth Studies on Stall Events and Quality Switches and Their Impact on the Quality of Experience in HTTP Adaptive Streaming., , , and . IEEE Access, (2021)Multi-codec ultra high definition 8K MPEG-DASH dataset., , and . MMSys, page 216-220. ACM, (2022)End-to-end Quality of Experience Evaluation for HTTP Adaptive Streaming.. ACM Multimedia, page 2936-2939. ACM, (2021)CAdViSE: cloud-based adaptive video streaming evaluation framework for the automated testing of media players., , , and . MMSys, page 349-352. ACM, (2020)Live Low-Latency Cloud-based Adaptive Video Streaming Evaluation Framework.. MHV, page 158. ACM, (2023)CAdViSE or how to find the sweet spots of ABR systems., , , , and . MHV, page 94. ACM, (2022)Dynamic Segment Repackaging at the Edge for HTTP Adaptive Streaming., , , and . ISM, page 17-24. IEEE, (2020)CADLAD: Device-aware Bitrate Ladder Construction for HTTP Adaptive Streaming., , , , and . CNSM, page 198-204. IEEE, (2022)LALISA: Adaptive Bitrate Ladder Optimization in HTTP-based Adaptive Live Streaming., , , , , , and . NOMS, page 1-9. IEEE, (2023)Understanding quality of experience of heuristic-based HTTP adaptive bitrate algorithms., , , , and . NOSSDAV, page 82-89. ACM, (2021)