Flash scene video coding using weighted prediction

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

doi:10.1016/j.jvcir.2011.11.004

Cited by 1 publication

(1 citation statement)

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“…12 and 13, block-based WP approaches are suggested. Tsang et al 12 proposed to use block-based WP parameters for coding videos with flashlight, where WP parameters are coded for each block, whereas Jeong and Park 13 proposed to derive the WP parameters using the neighboring boundary pixels but only in applicable in skip mode. Kwon and Kim 14 and Tsang et al [15][16][17] proposed to have region-based WP parameter estimation for coding the videos with local brightness variation (LBV).…”

Section: Introductionmentioning

confidence: 99%

Efficient temporal and interlayer parameter prediction for weighted prediction in scalable high efficiency video coding

Tsang

Chan

Siu

2017

J. Electron. Imaging

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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.

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Section: Introductionmentioning

confidence: 99%