Computational complexity allocation and control for inter-coding of high efficiency video coding with fast coding unit split decision

NCUIR > College of Electrical Engineering & Computer Science > Department of Communication Engineering > journal & Dissertation > Item 987654321/105890

Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/105890

Title:	Computational complexity allocation and control for inter-coding of high efficiency video coding with fast coding unit split decision
Authors:	張寶基;Fang, Jiunn-Tsair;Chen, Zong-Yi;Lai, Chang-Rui;Chang, Pao-Chi
Contributors:	資訊電機學院通訊工程學系
Keywords:	Coding unit;Complexity allocation;Complexity control;High-efficiency video coding (HEVC);Motion vector
Date:	2016-10-01
Issue Date:	2026-04-23 12:59:42 (UTC+8)
Publisher:	Academic Press Inc.;Elsevier Inc
Abstract:	摘要： •A computational complexity allocation and control method for the low-delay P-frame configuration of the HEVC encoder.•The complexity allocation includes the group of pictures layer, the frame layer, and the CU layer in the HEVC encoder.•Motion vector estimation information is applied for CU complexity allocation and depth split determination. HEVC provides the quadtree structure of the coding unit (CU) with four coding-tree depths to facilitate high coding efficiency. However, compared with previous standards, the HEVC encoder increases computational complexity considerably, thus making it inappropriate for applications in power-constrained devices. This study therefore proposes a computational complexity allocation and control method for the low-delay P-frame configuration of the HEVC encoder. The complexity allocation includes the group of pictures (GOP) layer, the frame layer, and the CU layer in the HEVC encoder. Each layer involved uses individual method to distribute the complexity. In particular, motion vector estimation information is applied for CU complexity allocation and depth split determination. The total computational complexity can thus be reduced to 80% and 60% or even lower. Experiment results revealed that the average BD-PSNR exhibited a decrease of approximately 0.1dB and a BD-bitrate increment of 2% when the target complexity was reduced to 60%. 出版者： Elsevier Inc 出版日期： 2016-10 出處： Journal of visual communication and image representation, 2016-10, Vol.40, p.34-41 資源來源： Elsevier ScienceDirect Journals Complete 版權： 2016 Elsevier Inc. 識別號： ISSN: 1047-3203 識別號： EISSN: 1095-9076 識別號： DOI: 10.1016/j.jvcir.2016.06.004
Appears in Collections:	[Department of Communication Engineering] journal & Dissertation

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