Ekrem Çetinkaya

Orcid: 0000-0002-6084-6249

According to our database1, Ekrem Çetinkaya authored at least 15 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
ALIVE: A Latency- and Cost-Aware Hybrid P2P-CDN Framework for Live Video Streaming.
IEEE Trans. Netw. Serv. Manag., April, 2024

Offline Reinforcement Learning for Bandwidth Estimation in RTC Using a Fast Actor and Not-So-Furious Critic.
Proceedings of the 15th ACM Multimedia Systems Conference, 2024

2022
Fast multi-encoding to reduce the cost of video streaming.
CoRR, 2022

MoViDNN: A Mobile Platform for Evaluating Video Quality Enhancement with Deep Neural Networks.
Proceedings of the MultiMedia Modeling - 28th International Conference, 2022

ECAS-ML: Edge Computing Assisted Adaptation Scheme with Machine Learning for HTTP Adaptive Streaming.
Proceedings of the MultiMedia Modeling - 28th International Conference, 2022

Super-resolution based bitrate adaptation for HTTP adaptive streaming for mobile devices.
Proceedings of the MHV '22: Mile-High Video Conference, Denver, Colorado, USA, March 1, 2022

LiDeR: Lightweight Dense Residual Network for Video Super-Resolution on Mobile Devices.
Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

LFC-SASR: Light Field Coding Using Spatial and Angular Super-Resolution.
Proceedings of the IEEE International Conference on Multimedia and Expo Workshops, 2022

Hybrid P2P-CDN Architecture for Live Video Streaming: An Online Learning Approach.
Proceedings of the IEEE Global Communications Conference, 2022

2021
CTU depth decision algorithms for HEVC: A survey.
Signal Process. Image Commun., 2021

WISH: User-centric Bitrate Adaptation for HTTP Adaptive Streaming on Mobile Devices.
Proceedings of the 23rd International Workshop on Multimedia Signal Processing, 2021

Towards Optimal Multirate Encoding for HTTP Adaptive Streaming.
Proceedings of the MultiMedia Modeling - 27th International Conference, 2021

2020
Image denoising using deep convolutional autoencoder with feature pyramids.
Turkish J. Electr. Eng. Comput. Sci., 2020

FaME-ML: Fast Multirate Encoding for HTTP Adaptive Streaming Using Machine Learning.
Proceedings of the 2020 IEEE International Conference on Visual Communications and Image Processing, 2020

Fast Multi-rate Encoding for Adaptive HTTP Streaming.
Proceedings of the Data Compression Conference, 2020


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