On Intra Prediction for Screen Content Video Coding
Haoming Chen, Ankur Saxena, Felix Fernandes

TL;DR
This paper introduces a novel intra prediction method for screen content video that replaces bilinear interpolation with nearest-neighbor prediction, significantly improving compression efficiency by preserving sharp edges.
Contribution
It proposes three variants of nearest neighbor intra prediction for screen content, including an RDO-based method, addressing limitations of HEVC's bilinear interpolation.
Findings
Achieves an average of 3.3% BD-bitrate reduction in intra coding.
First to identify inefficiency of HEVC's bilinear interpolation for screen content.
Demonstrates significant gains over standard HEVC in simulation results.
Abstract
Screen content coding (SCC) is becoming increasingly important in various applications, such as desktop sharing, video conferencing, and remote education. When compared to natural camera- captured content, screen content has different characteristics, in particular sharper edges. In this paper, we propose a novel intra prediction scheme for screen content video. In the proposed scheme, bilinear interpolation in angular intra prediction in HEVC is selectively replaced by nearest-neighbor intra prediction to preserve the sharp edges in screen content video. We present three different variants of the proposed nearest neighbor prediction algorithm: two implicit methods where both the encoder, and the decoder derive whether to perform nearest neighbor prediction or not based on either (a) the sum of the absolute difference, or (b) the difference between the boundary pixels from which…
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Taxonomy
TopicsVideo Coding and Compression Technologies · Advanced Data Compression Techniques · Image and Video Quality Assessment
