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Complexity control for high-efficiency video coding by coding layers complexity allocations

[+] Author Affiliations
Jiunn-Tsair Fang

Ming Chuan University, Department of Electronic Engineering, No. 5, Deming Road, Taoyuan City 33348, Taiwan

Kai-Wen Liang, Zong-Yi Chen, Wei Hsieh, Pao-Chi Chang

National Central University, Department of Communication Engineering, No. 300, Jhongda Road, Taoyuan City 32001, Taiwan

J. Electron. Imaging. 25(2), 023024 (Apr 19, 2016). doi:10.1117/1.JEI.25.2.023024
History: Received October 20, 2015; Accepted March 25, 2016
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Abstract.  The latest video compression standard, high-efficiency video coding (HEVC), provides quad-tree structures of coding units (CUs) and four coding tree depths to facilitate coding efficiency. The HEVC encoder considerably increases the computational complexity to levels inappropriate for video applications of power-constrained devices. This work, therefore, proposes a complexity control method for the low-delay P-frame configuration of the HEVC encoder. The complexity control mechanism is among the group of pictures layer, frame layer, and CU layer, and each coding layer provides a distinct method for complexity allocation. Furthermore, the steps in the prediction unit encoding procedure are reordered. By allocating the complexity to each coding layer of HEVC, the proposed method can simultaneously satisfy the entire complexity constraint (ECC) for entire sequence encoding and the instant complexity constraint (ICC) for each frame during real-time encoding. Experimental results showed that as the target complexity under both the ECC and ICC was reduced to 80% and 60%, respectively, the decrease in the average Bjøntegaard delta peak signal-to-noise ratio was 0.1  dB with an increase of 1.9% in the Bjøntegaard delta rate, and the complexity control error was 4.3% under the ECC and 4.3% under the ICC.

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Citation

Jiunn-Tsair Fang ; Kai-Wen Liang ; Zong-Yi Chen ; Wei Hsieh and Pao-Chi Chang
"Complexity control for high-efficiency video coding by coding layers complexity allocations", J. Electron. Imaging. 25(2), 023024 (Apr 19, 2016). ; http://dx.doi.org/10.1117/1.JEI.25.2.023024


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