Improved Screen Content Coding in VVC Using Soft Context Formation
May 09, 2023 Β· Declared Dead Β· π IEEE International Conference on Acoustics, Speech, and Signal Processing
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Authors
Hannah Och, Shabhrish Reddy Uddehal, Tilo Strutz, AndrΓ© Kaup
arXiv ID
2305.05440
Category
eess.IV: Image & Video Processing
Cross-listed
cs.MM
Citations
2
Venue
IEEE International Conference on Acoustics, Speech, and Signal Processing
Last Checked
4 months ago
Abstract
Screen content images typically contain a mix of natural and synthetic image parts. Synthetic sections usually are comprised of uniformly colored areas and repeating colors and patterns. In the VVC standard, these properties are exploited using Intra Block Copy and Palette Mode. In this paper, we show that pixel-wise lossless coding can outperform lossy VVC coding in such areas. We propose an enhanced VVC coding approach for screen content images using the principle of soft context formation. First, the image is separated into two layers in a block-wise manner using a learning-based method with four block features. Synthetic image parts are coded losslessly using soft context formation, the rest with VVC.We modify the available soft context formation coder to incorporate information gained by the decoded VVC layer for improved coding efficiency. Using this approach, we achieve Bjontegaard-Delta-rate gains of 4.98% on the evaluated data sets compared to VVC.
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