Senior Video Coding Research and Development Engineers
Max focuses on applying machine learning algorithms to encoders and video applications. He previously worked for Germany’s largest private streaming and broadcast company where he co-developed large-scale transcoding systems for VOD streaming. He received the Dipl.-Ing. in electrical and communications engineering and Dr.-Ing. degrees from RWTH Aachen University. During his doctoral studies at the Institut für Nachrichtentechnik (IENT), Max performed research in the area of video coding and actively contributed to the standardization of Versatile Video Coding (VVC).
Jens received his Dr.-Ing. degree in communications engineering from RWTH Aachen University in 2021. His research focused on the link between machine learning and low-level coding tools in combination with higher level video coding concepts such as dynamic resolution coding. Jens joined MainConcept after working as a Software Engineer in the cloud native landscape. In his role at MainConcept, he is currently working on machine learning-based encoder optimizations and cloud native simulation setups.
Max focuses on applying machine learning algorithms to encoders and video applications. He previously worked for Germany’s largest private streaming and broadcast company where he co-developed large-scale transcoding systems for VOD streaming. He received the Dipl.-Ing. in electrical and communications engineering and Dr.-Ing. degrees from RWTH Aachen University. During his doctoral studies at the Institut für Nachrichtentechnik (IENT), Max performed research in the area of video coding and actively contributed to the standardization of Versatile Video Coding (VVC).
Jens received his Dr.-Ing. degree in communications engineering from RWTH Aachen University in 2021. His research focused on the link between machine learning and low-level coding tools in combination with higher level video coding concepts such as dynamic resolution coding. Jens joined MainConcept after working as a Software Engineer in the cloud native landscape. In his role at MainConcept, he is currently working on machine learning-based encoder optimizations and cloud native simulation setups.
Blog Post by Jens Schneider & Max Bläser
Jens Schneider & Max BläserJul 21, 20269 min read
Beyond BD-Rate: Comparing Encoders in the Rate-Distortion-Speed Space
“Hey guys, do we have some fresh numbers on how we compare against x265 for VOD on these ...
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Jens Schneider & Max BläserJun 19, 202613 min read
Encoding for Apple Vision Pro: An experimental MV-HEVC pipeline
Apple Immersive Video drives video encoder comparisons to new dimensions because of the ...
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Jens Schneider & Max BläserApr 30, 202610 min read
Constant Target Quality Encoding for Segment-Based VOD: Now Available for AVC/H.264
In our previous post, we introduced Constant Target Quality (CTQ) encoding, a new rate ...
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Jens Schneider & Max BläserDec 8, 202513 min read
Constant Target Quality: Encoding Driven by Perceptual Fidelity
Introduction Delivering high-quality video at the lowest possible bitrate remains a core ...
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Jens Schneider & Max BläserSep 4, 202510 min read
vScore: Fast and Easy Video Quality Measurement for MainConcept HEVC Encoding
In the area of video streaming and content delivery, ensuring the best video quality has ...
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Jens Schneider & Max BläserJun 10, 20257 min read
The Python way - an approach to optimize video encoders with Optuna
TL;DR Optimization and tuning of encoding parameters can be efficiently performed using ...
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Jens Schneider & Max BläserNov 20, 202413 min read
Tuning a Kubernetes cluster for running video encoders
Optimizing a Kubernetes cluster for running video encoders—or other long-running, ...
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Jens Schneider & Max BläserOct 10, 202410 min read
Streamlining Encoder evaluation using Dask & Python with MainConcept Codecs
Dask offers great capabilities to run parallelized encodings on any kind of compute ...
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