Search Results for author: Hannah Och

Found 6 papers, 1 papers with code

Enhanced Color Palette Modeling for Lossless Screen Content Compression

no code implementations22 Dec 2023 Hannah Och, Shabhrish Reddy Uddehal, Tilo Strutz, André Kaup

Compared to VVC and HEVC, the proposed method needs roughly 0. 44 and 0. 17 bits per pixel less on average for 24-bit screen content images, respectively.

Color Agnostic Cross-Spectral Disparity Estimation

no code implementations14 Dec 2023 Frank Sippel, Nils Genser, Hannah Och, Jürgen Seiler, André Kaup

The theoretical examination of the novel color agnostic method is completed by an extensive evaluation compared to state of the art including self-recorded multispectral data and a reference implementation.

Disparity Estimation Image Generation +1

Image Segmentation For Improved Lossless Screen Content Compression

no code implementations10 May 2023 Shabhrish Reddy Uddehal, Tilo Strutz, Hannah Och, André Kaup

For SCIs with natural regions, the proposed method achieves a bit-rate reduction of up to 11. 6% and 1. 52% with respect to HEVC and the previous version of the SCF.

Image Segmentation Semantic Segmentation

Improved Screen Content Coding in VVC Using Soft Context Formation

no code implementations9 May 2023 Hannah Och, Shabhrish Reddy Uddehal, Tilo Strutz, André Kaup

Screen content images typically contain a mix of natural and synthetic image parts.

The Bjøntegaard Bible -- Why your Way of Comparing Video Codecs May Be Wrong

1 code implementation25 Apr 2023 Christian Herglotz, Hannah Och, Anna Meyer, Geetha Ramasubbu, Lena Eichermüller, Matthias Kränzler, Fabian Brand, Kristian Fischer, Dat Thanh Nguyen, Andy Regensky, André Kaup

Using additional supporting points inbetween standard points defined by parameters such as the quantization parameter, we assess the interpolation error of the Bj{\o}ntegaard-Delta (BD) calculus and its impact on the final BD value.

Quantization SSIM +1

Optimization of Probability Distributions for Residual Coding of Screen Content

no code implementations2 Dec 2022 Hannah Och, Tilo Strutz, André Kaup

For each pixel to be encoded, a probability distribution is estimated based on the neighboring pattern and the occurrence of that pattern in the already encoded image.

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