NEW WEIGHTED PREDICTION ARCHITECTURE FOR CODING SCENES WITH VARIOUS FADING EFFECTS - Image and Video Processing

Sik-Ho Tsang, Yui-Lam Chan, Wan-Chi Siu

Abstract

Weighted prediction (WP) is one of the new tools in H.264 for encoding scenes with brightness variations. However, a single WP model does not handle all types of brightness variations. Also, large luminance difference induced by object motions would mislead an encoder in its use of WP which results in low coding efficiency. To solve these problems, a picture-based multi-pass encoding strategy, which extensively encodes the same picture multiple times with different WP models and selects the model with the minimum rate-distortion cost, has been adopted in H.264 to obtain better coding performance. However, computational complexity is impractically high. In this paper, a new WP referencing architecture is proposed to facilitate the use of multiple WP models by making a new arrangement of multiple frame buffers in multiple reference frame motion estimation. Experimental results show that the proposed scheme can improve prediction in scenes with different types of brightness variations and considerable luminance difference induced by motions within the same sequence.

References

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Paper Citation


in Harvard Style

Tsang S., Chan Y. and Siu W. (2010). NEW WEIGHTED PREDICTION ARCHITECTURE FOR CODING SCENES WITH VARIOUS FADING EFFECTS - Image and Video Processing . In Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2010) ISBN 978-989-8425-19-5, pages 118-123. DOI: 10.5220/0002984501180123


in Bibtex Style

@conference{sigmap10,
author={Sik-Ho Tsang and Yui-Lam Chan and Wan-Chi Siu},
title={NEW WEIGHTED PREDICTION ARCHITECTURE FOR CODING SCENES WITH VARIOUS FADING EFFECTS - Image and Video Processing},
booktitle={Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2010)},
year={2010},
pages={118-123},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002984501180123},
isbn={978-989-8425-19-5},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Signal Processing and Multimedia Applications - Volume 1: SIGMAP, (ICETE 2010)
TI - NEW WEIGHTED PREDICTION ARCHITECTURE FOR CODING SCENES WITH VARIOUS FADING EFFECTS - Image and Video Processing
SN - 978-989-8425-19-5
AU - Tsang S.
AU - Chan Y.
AU - Siu W.
PY - 2010
SP - 118
EP - 123
DO - 10.5220/0002984501180123