447 citations · 547 across the 20 of their papers we have counts for
20 papers
Estimating WebRTC Video QoE Metrics Without Using Application Headers
Taveesh Sharma, Tarun Mangla, Arpit Gupta +2
The increased use of video conferencing applications (VCAs) has made it critical to understand and support end-user quality of experience (QoE) by all stakeholders in the VCA ecosy…
GRACE: Loss-Resilient Real-Time Video through Neural Codecs
Yihua Cheng, Ziyi Zhang, Hanchen Li +9
In real-time video communication, retransmitting lost packets over high-latency networks is not viable due to strict latency requirements. To counter packet losses without retransm…
Enabling Personalized Video Quality Optimization with VidHoc
Xu Zhang, Paul Schmitt, Marshini Chetty +2
The emerging video applications greatly increase the demand in network bandwidth that is not easy to scale. To provide higher quality of experience (QoE) under limited bandwidth, a…
GRACE: Loss-Resilient Real-Time Video Communication Using Data-Scalable Autoencoder
Yihua Cheng, Anton Arapin, Ziyi Zhang +4
Across many real-time video applications, we see a growing need (especially in long delays and dynamic bandwidth) to allow clients to decode each frame once any (non-empty) subset…
Bandwidth-Efficient Multi-video Prefetching for Short Video Streaming
Xutong Zuo, Yishu Li, Mohan Xu +6
Applications that allow sharing of user-created short videos exploded in popularity in recent years. A typical short video application allows a user to swipe away the current video…
AccMPEG: Optimizing Video Encoding for Video Analytics
Kuntai Du, Qizheng Zhang, Anton Arapin +3
With more videos being recorded by edge sensors (cameras) and analyzed by computer-vision deep neural nets (DNNs), a new breed of video streaming systems has emerged, with the goal…