115 citations · 346 across the 42 of their papers we have counts for
4 papers · 1 filter
Fast multi-encoding to reduce the cost of video streaming
Hadi Amirpour, Vignesh V Menon, Ekrem Çetinkaya +4
The growth in video Internet traffic and advancements in video attributes such as framerate, resolution, and bit-depth boost the demand to devise a large-scale, highly efficient vi…
Content-adaptive Encoder Preset Prediction for Adaptive Live Streaming
Vignesh V Menon, Hadi Amirpour, Prajit T Rajendran +2
In live streaming applications, a fixed set of bitrate-resolution pairs (known as bitrate ladder) is generally used to avoid additional pre-processing run-time to analyze the compl…
ECAS-ML: Edge Computing Assisted Adaptation Scheme with Machine Learning for HTTP Adaptive Streaming
Jesús Aguilar-Armijo, Ekrem Çetinkaya, Christian Timmerer +1
As the video streaming traffic in mobile networks is increasing, improving the content delivery process becomes crucial, e.g., by utilizing edge computing support. At an edge node,…
MoViDNN: A Mobile Platform for Evaluating Video Quality Enhancement with Deep Neural Networks
Ekrem Çetinkaya, Minh Nguyen, Christian Timmerer
Deep neural network (DNN) based approaches have been intensively studied to improve video quality thanks to their fast advancement in recent years. These approaches are designed ma…