This paper presents a novel two-layer coding framework targeting visually lossless compression of screen content video. The proposed framework employs the conventional HEVC standard for the base-layer. For the enhancement layer, a hybrid of spatial and temporal block-prediction mechanism is introduced to guarantee a small energy of the error-residual. Spatial prediction is generally chosen for dynamic areas, while temporal predictions yield better prediction for static areas in a video frame. The prediction residual is quantized based on whether a given block is static or dynamic. Run-length coding, Golomb based binarization and context-based arithmetic coding are employed to efficiently code the quantized residual and form the enhancement-layer. Performance evaluations using 4:4:4 screen content sequences show that, for visually lossless video quality, the proposed system significantly saves the bit-rate compared to the two-layer lossless HEVC framework.
Braeckman, G, Satti, S, Chen, H, Munteanu, A & Schelkens, P 2013, Visually Lossless Screen Content Coding using HEVC Base-layer. in Visual Communications and Image Processing (VCIP). Kuching, Malaysia, pp. 1-6, 2013 Visual Communications and Image Processing (VCIP), Kuching, Malaysia, 17/11/13. <http://dx.doi.org/10.1109/VCIP.2013.6706364>
Braeckman, G., Satti, S., Chen, H., Munteanu, A., & Schelkens, P. (2013). Visually Lossless Screen Content Coding using HEVC Base-layer. In Visual Communications and Image Processing (VCIP) (pp. 1-6). http://dx.doi.org/10.1109/VCIP.2013.6706364
@inproceedings{e58cce4d9fda4fec844a4435d93c01f3,
title = "Visually Lossless Screen Content Coding using HEVC Base-layer",
abstract = "This paper presents a novel two-layer coding framework targeting visually lossless compression of screen content video. The proposed framework employs the conventional HEVC standard for the base-layer. For the enhancement layer, a hybrid of spatial and temporal block-prediction mechanism is introduced to guarantee a small energy of the error-residual. Spatial prediction is generally chosen for dynamic areas, while temporal predictions yield better prediction for static areas in a video frame. The prediction residual is quantized based on whether a given block is static or dynamic. Run-length coding, Golomb based binarization and context-based arithmetic coding are employed to efficiently code the quantized residual and form the enhancement-layer. Performance evaluations using 4:4:4 screen content sequences show that, for visually lossless video quality, the proposed system significantly saves the bit-rate compared to the two-layer lossless HEVC framework.",
keywords = "Screen content coding, near-lossless, HEVC, scalable video compression, erosion",
author = "Geert Braeckman and Shahid Satti and Heng Chen and Adrian Munteanu and Peter Schelkens",
year = "2013",
month = nov,
day = "20",
language = "English",
isbn = "978-1-4799-0288-0",
pages = "1--6",
booktitle = "Visual Communications and Image Processing (VCIP)",
note = "2013 Visual Communications and Image Processing (VCIP) ; Conference date: 17-11-2013 Through 20-11-2013",
}