

Improving the overall performance of HAS. Login/SSO No issues Connections No issues Messaging No issues Link Previews No issues Posts/Files No issues Notifications No issues Calls No issues Search No issues Apps/Integrations/APIs No issues Workspace/Org Administration No issues Subscribe to Slack Status updates via Atom feed or RSS feed or read about our uptime alerts to learn more. Metric is capable of providing real-time guidance to ABR algorithms and Our metric outperforms the mainstream blind QoE metrics by 0.3, and itsĬomputing time is only 60\% of the video playback, indicating that the proposed Experimental results show that the accuracy of Reward and penalty features are regressed into quality scores with a Support Time as the Quality of Service (QoS), as well as spatiotemporal output from aĭeep neural network and specific switching events as content information. We design an effective QoE metric that integrates resolution and rebuffering

Propose a non-uniform sampling metric to reduce time complexity. ToĪddress this challenge, we analyzed various characteristics of HAS systems and Latency, and blind assessment, which are difficult to realize together. Prediction requires high consistency with the Human Visual System (HVS), low Predicting such real-time QoE on the client side is challenging. The extra space prevents damage to the product by outside pressure. 'Good examples are packages filled with chips or cookies. 'One valid reason for functional slack-fill is product protection,' she explained. An effective Quality of Experience (QoE)Īssessment metric can provide crucial feedback to an ABR algorithm. According to Nina van Toulon, the initiator of the Indonesian Platform for Prevention and Management of Waste, some slack-fill is needed.

Download a PDF of the paper titled A real-time blind quality-of-experience assessment metric for HTTP adaptive streaming, by Chunyi Li and 3 other authors Download PDF Abstract: In today's Internet, HTTP Adaptive Streaming (HAS) is the mainstream standardįor video streaming, which switches the bitrate of the video content based onĪn Adaptive BitRate (ABR) algorithm.
