Ekrem Çetinkaya received his B.Sc. in 2018, and M.Sc. in 2019 from Ozyegin University, Istanbul, Türkiye. He wrote his M.Sc. thesis about image denoising using deep convolutional networks. He received his Ph.D. degree in 2023 from the University of Klagenfurt, Austria, with his dissertation titled "Video Coding Enhancements for HTTP Adaptive Streaming Using Machine Learning." His research interests include deep learning, computer vision, video encoding, and multimedia networking.
Increasing demand for video content and stable upgrades in display technology, such as higher resolution, increases the importance of designing efficient video codecs. That...
Immersive applications such as augmented reality (AR) and virtual reality (VR) are getting more attention thanks to the rapid advancement in the field. A...
Recognizing human actions in videos is an essential task for many applications. From helping coaches with player analysis in their sports teams to improving...
The constant improvement in display technologies and emerging new media representation types such as 360-degree videos enabled videos to have better visual characteristics such...
Video content continues to dominate Internet traffic by taking more than 80% of the traffic share in 2022. Although performance improvement is significant in...
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