Nathan E. Egge

MM
h-index8
3papers
10citations
Novelty40%
AI Score19

3 Papers

1.2MMNov 10, 2017
Predicting Chroma from Luma in AV1

Luc N. Trudeau, Nathan E. Egge, David Barr

Chroma from luma (CfL) prediction is a new and promising chroma-only intra predictor that models chroma pixels as a linear function of the coincident reconstructed luma pixels. In this paper, we present the CfL predictor adopted in Alliance Video 1 (AV1), a royalty-free video codec developed by the Alliance for Open Media (AOM). The proposed CfL distinguishes itself from prior art not only by reducing decoder complexity, but also by producing more accurate predictions. On average, CfL reduces the BD-rate, when measured with CIEDE2000, by 5% for still images and 2% for video sequences.

1.2MMMay 16, 2016
Daala: A Perceptually-Driven Still Picture Codec

Jean-Marc Valin, Nathan E. Egge, Thomas Daede et al.

Daala is a new royalty-free video codec based on perceptually-driven coding techniques. We explore using its keyframe format for still picture coding and show how it has improved over the past year. We believe the technology used in Daala could be the basis of an excellent, royalty-free image format.

5.1MMMar 10, 2016
Daala: A Perceptually-Driven Next Generation Video Codec

Thomas J. Daede, Nathan E. Egge, Jean-Marc Valin et al.

The Daala project is a royalty-free video codec that attempts to compete with the best patent-encumbered codecs. Part of our strategy is to replace core tools of traditional video codecs with alternative approaches, many of them designed to take perceptual aspects into account, rather than optimizing for simple metrics like PSNR. This paper documents some of our experiences with these tools, which ones worked and which did not, and what we've learned from them. The result is a codec which compares favorably with HEVC on still images, and is on a path to do so for video as well.