Hybrid P2P-CDN Architecture for Live Video Streaming: An Online Learning Approach
Citation coming soon.
Publications
2022
LiDeR: Lightweight Dense Residual Network for Video Super-Resolution on Mobile Devices
Çetinkaya, E., Nguyen, M., & Timmerer, C. (2022). LiDeR: Lightweight Dense Residual Network for Video Super-Resolution on Mobile Devices. In 2022 IEEE 14th Image, Video, and Multidimensional Signal Processing Workshop (IVMSP) (pp. 1-5). IEEE.
LFC-SASR: Light Field Coding Using Spatial and Angular Super-Resolution
Çetinkaya, E., Amirpour, H., & Timmerer, C. (2022). LFC-SASR: Light Field Coding Using Spatial and Angular Super-Resolution. In 2022 IEEE International Conference on Multimedia and Expo Workshops (ICMEW) (pp. 1-6). IEEE.
Super-resolution Based Bitrate Adaptation for HTTP Adaptive Streaming for Mobile Devices
Nguyen, M., Çetinkaya, E., Hellwagner, H., & Timmerer, C. (2022). Super-resolution based bitrate adaptation for HTTP adaptive streaming for mobile devices. In Proceedings of the 1st Mile-High Video Conference (pp. 70-76).
MoViDNN: A Mobile Platform for Evaluating Video Quality Enhancement with Deep Neural Networks
Çetinkaya, E., Nguyen, M., & Timmerer, C. (2022). MoViDNN: A Mobile Platform for Evaluating Video Quality Enhancement with Deep Neural Networks. In International Conference on Multimedia Modeling (pp. 465-472). Springer, Cham.
ECAS-ML: Edge Computing Assisted Adaptation Scheme with ML for HAS
Aguilar-Armijo, J., Çetinkaya, E., Timmerer, C., & Hellwagner, H. (2022). ECAS-ML: Edge Computing Assisted Adaptation Scheme with Machine Learning for HTTP Adaptive Streaming. In International Conference on Multimedia Modeling (pp. 394-406). Springer, Cham.
2021
CTU Depth Decision Algorithms for HEVC: A Survey
Çetinkaya, E., Amirpour, H., Ghanbari, M., & Timmerer, C. (2021). CTU depth decision algorithms for HEVC: A survey. Signal Processing: Image Communication, 99, 116442.
Machine Learning Based Video Coding Enhancements for HTTP Adaptive Streaming
Çetinkaya, E. (2021). Machine Learning Based Video Coding Enhancements for HTTP Adaptive Streaming. In Proceedings of the 12th ACM Multimedia Systems Conference (pp. 418-422).
WISH: User-centric Bitrate Adaptation for HTTP Adaptive Streaming on Mobile Devices
Nguyen, M., Çetinkaya, E., Hellwagner, H., & Timmerer, C. (2021). WISH: User-centric Bitrate Adaptation for HTTP Adaptive Streaming on Mobile Devices. In 2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP) (pp. 1-6). IEEE.
Fast Multi-Resolution and Multi-Rate Encoding for HTTP Adaptive Streaming Using Machine Learning
Çetinkaya, E., Amirpour, H., Timmerer, C., & Ghanbari, M. (2021). Fast Multi-Resolution and Multi-Rate Encoding for HTTP Adaptive Streaming Using Machine Learning. IEEE Open Journal of Signal Processing, 2, 484-495.
Towards Optimal Multirate Encoding for HTTP Adaptive Streaming
Amirpour, H., Çetinkaya, E., Timmerer, C., & Ghanbari, M. (2021). Towards optimal multirate encoding for HTTP adaptive streaming. In International Conference on Multimedia Modeling (pp. 469-480). Springer, Cham.
2020
FaME-ML: Fast Multirate Encoding for HTTP Adaptive Streaming Using Machine Learning
Çetinkaya, E., Amirpour, H., Timmerer, C., & Ghanbari, M. (2020). FaME-ML: fast multirate encoding for HTTP adaptive streaming using machine learning. In 2020 IEEE International Conference on Visual Communications and Image Processing (VCIP) (pp. 87-90). IEEE.
Image Denoising Using Deep Convolutional Autoencoder with Feature Pyramids
Çetinkaya, E., & Kıraç, M. F. (2020). Image denoising using deep convolutional autoencoder with feature pyramids. Turkish Journal of Electrical Engineering and Computer Sciences, 28(4), 2096-2109.
Fast Multi-Rate Encoding for Adaptive HTTP Streaming
Amirpour, H., Çetinkaya, E., Timmerer, C., & Ghanbari, M. (2020). Fast multi-rate encoding for adaptive HTTP streaming. In 2020 Data Compression Conference (DCC) (pp. 358-358). IEEE.