22 citations · 30 across the 4 of their papers we have counts for
4 papers
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…
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…
CTU Depth Decision Algorithms for HEVC: A Survey
Ekrem Cetinkaya, Hadi Amirpour, Mohammad Ghanbari +1
High-Efficiency Video Coding (HEVC) surpasses its predecessors in encoding efficiency by introducing new coding tools at the cost of an increased encoding time-complexity. The Codi…