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Journal of Electronic Imaging

Efficient temporal and interlayer parameter prediction for weighted prediction in scalable high efficiency video coding
Author(s): Sik-Ho Tsang; Yui-Lam Chan; Wan-Chi Siu
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Paper Abstract

Weighted prediction (WP) is an efficient video coding tool that was introduced since the establishment of the H.264/AVC video coding standard, for compensating the temporal illumination change in motion estimation and compensation. WP parameters, including a multiplicative weight and an additive offset for each reference frame, are required to be estimated and transmitted to the decoder by slice header. These parameters cause extra bits in the coded video bitstream. High efficiency video coding (HEVC) provides WP parameter prediction to reduce the overhead. Therefore, WP parameter prediction is crucial to research works or applications, which are related to WP. Prior art has been suggested to further improve the WP parameter prediction by implicit prediction of image characteristics and derivation of parameters. By exploiting both temporal and interlayer redundancies, we propose three WP parameter prediction algorithms, enhanced implicit WP parameter, enhanced direct WP parameter derivation, and interlayer WP parameter, to further improve the coding efficiency of HEVC. Results show that our proposed algorithms can achieve up to 5.83% and 5.23% bitrate reduction compared to the conventional scalable HEVC in the base layer for SNR scalability and 2× spatial scalability, respectively.

Paper Details

Date Published: 11 February 2017
PDF: 13 pages
J. Electron. Imag. 26(1) 013013 doi: 10.1117/1.JEI.26.1.013013
Published in: Journal of Electronic Imaging Volume 26, Issue 1
Show Author Affiliations
Sik-Ho Tsang, The Hong Kong Polytechnic Univ. (Hong Kong)
Yui-Lam Chan, The Hong Kong Polytechnic Univ. (Hong Kong)
Wan-Chi Siu, The Hong Kong Polytechnic Univ. (Hong Kong)


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