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Proceedings Paper

Mode-dependent pixel-based weighted intraprediction for HEVC scalable extension
Author(s): Tang Kha Duy Nguyen; Chun-Chi Chen
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Paper Abstract

The current draft scalable extension to HEVC offers two approaches, RefIdx and TextureRL, for performing inter-layer prediction. In the framework of TextureRL, this paper presents a mode-dependent pixel-based weighted intra prediction scheme for coding the enhancement layer (EL). The scheme first decomposes the EL intra prediction and the collocated base layer reconstructed block into their respective DC and AC components and then computes a weighted sum of both to form a better prediction signal using a pixel-based weighting scheme. The weighting factors to associate with different components are obtained by a least-squares fit to the training data. It was observed that they depend strongly on the EL's intra prediction mode and prediction block size, but are less dependent on QP settings. The experimental results show an average BD-rate savings of 1.0% for the AI-2x configuration and 0.5% for AI-1.5x over the SHM-1.0 anchor.

Paper Details

Date Published: 16 April 2014
PDF: 6 pages
Proc. SPIE 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014), 915925 (16 April 2014); doi: 10.1117/12.2064639
Show Author Affiliations
Tang Kha Duy Nguyen, National Chiao Tung Univ. (Taiwan)
Chun-Chi Chen, National Chiao Tung Univ. (Taiwan)

Published in SPIE Proceedings Vol. 9159:
Sixth International Conference on Digital Image Processing (ICDIP 2014)
Charles M. Falco; Chin-Chen Chang; Xudong Jiang, Editor(s)

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