Hannah Och

I have been working in the field of screen content coding since November 2020. The current focus is on probability modeling for arithmetic coding by exploiting the specific charactersitics of screen content data.

I offer student theses in the field of screen content coding at any time. Good knowledge of Python or C++, and image and video signal processing is necessary.
If you are interested, feel free to contact me via email with a short description of your previous experience in software developement and image and video signal processing (e.g. lectures, internships, laboratories, own projects, etc.).

Master’s Theses/Bachelor’s Theses

• “Deep Learning based Screen Content Image Compression”
• “Text Recognition Algorithms for Screen Content Quality Assessment”
• “Investigation of Screen Content Image Compression Based on Neural Networks”
• “Compression of Screen Content Images Using Text Recognition”
• “Investigation of Loss Functions for Screen Content Compression with Neural Networks”

Research Internships and Project Theses

• “Evaluation of the Soft Context Formation Method for Lossless Compression of Screen Content Images”
• “Quality Metrics for Screen Content Data”
• “Evaluation of Upsampling Methods for Screen Content Images”
• “Investigation of Pixel-Wise Prediction Methods for Screen Content Compression”
• “Investigation of Histogram Scaling for Arithmetic Coding in the Soft Context Formation Coder”
• “Near-Lossless Compression of Camera-Captured Data in Compound Screen Content Images”
• “Extension of the SCF coder for Screen Content Video Compression”
• “Investigation of Text Loss for Neural Network based Screen Content Compression”
• “Optimizing Screen Content Compression Based on a Global Color Palette”
• “Multi-Task Leaning for Screen Content Image Compression”
• “Optimizing Learned Image Codecs for Screen Content Using Pre- and Post-Filtering Techniques”

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