The ACM Multimedia 2019 Live Video Streaming Grand Challenge

作者：Gang Yi, Dan Yang, Abdelhak Bentaleb, Weihua Li, Yi Li, Kai Zheng, Jiangchuan Liu, Wei Tsang Ooi, Yong Cui · 年份：2019 · DOI：10.1145/3343031.3356083 · 被引用次数：37 · 研究领域：Image and Video Quality Assessment、Video Coding and Compression Technologies、Advanced Image Processing Techniques

Live video streaming delivery over Dynamic Adaptive Video Streaming (DASH) is challenging as it requires low end-to-end latency, is more prone to stall, and the receiver has to decide online which representation at which bitrate to download and whether to adjust the playback speed to control the latency. To encourage the research community to come together to address this challenge, we organize the Live Video Streaming Grand Challenge at ACM Multimedia 2019. This grand challenge provides a simulation platform onto which the participants can implement their adaptive bitrate (ABR) logic and latency control algorithm, and then benchmark against each other using a common set of video traces and network traces. The ABR algorithms are evaluated using a common Quality-of- Experience (QoE) model that accounts for playback bitrate, latency constraint, frame-skipping penalty, and rebuffering penalty.