Exploration of Generalized Residual Prediction in scalable HEVC

François, Édouard; Gisquet, Christophe; Taquet, Jonathan; Laroche, Guillaume; Onno, Patrice

doi:10.1109/vcip.2013.6706449

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…One residual prediction method is adopted for SVC, which is based on H.264/AVC under the single-loop decoding framework [1,6]. On the other hand, the generalized residual prediction (GRP) method was studied in standardizing SHVC under the multi-loop decoding framework [7,8].…”

Section: Conventional Residual Prediction Methods For Scalable Video mentioning

confidence: 99%

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Low-complexity inter-layer residual prediction for scalable video coding

Lim

Kim

Lee

et al. 2015

J Real-Time Image Proc

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In this work, an inter-layer residual prediction method that has low complexity and minimal syntax changes is proposed to improve the rate-distortion RD performance of scalable video coding. The proposed method employs a new inter-layer reference picture that is compensated for by a residual signal from the corresponding base layer. The compensated reference picture is added into the reference picture lists. Thus, the residual prediction is adaptively conducted by motion estimation and compensation with the added inter-layer reference picture. When the residual-compensated reference picture is generated, sub-pel interpolation is not used to reduce the computational complexity. Despite adding the residual predicted reference picture, block-level syntax changes and decoding processes are not necessary. To evaluate the performance of the proposed method, the proposed technique was applied to the scalable high-efficiency video coding (SHVC) coder. Experimental results show that the coding performance for the luma component is improved by about 1.0 %, compared to the SHVC reference software. The encoding time for the proposed algorithm is not increased and the decoding time is increased by about 5 % against SHVC without any residual predictions while the conventional GRP achieves 1.83 % coding gain with 48.4 and 20.3 % of encoding and decoding complexity increment in 29 and 1.59 scalable coding cases, respectively.

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Section: Conventional Residual Prediction Methods For Scalable Video mentioning

confidence: 99%

“…Existing residual prediction methods can improve coding performance of the EL; however, these increase the computational complexity and memory bandwidth [6][7][8]. The residual of the predicted signal on the EL is compensated for by the up-sampled residual of the corresponding RL.…”

Section: Introductionmentioning

confidence: 99%