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Journal Article Fast Motion Estimation Using Priority-Based Inter-Prediction Mode Decision Method in High Efficiency Video Coding
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Authors
Alex Lee, DongSan Jun, Jin Soo Choi
Issue Date
2016-08
Citation
Journal of Real-Time Image Processing, v.12, no.2, pp.433-441
ISSN
1861-8200
Publisher
Springer
Language
English
Type
Journal Article
DOI
https://dx.doi.org/10.1007/s11554-015-0493-7
Project Code
14MR9500, Development of UHD Realistic Broadcasting, Digital Cinema, and Digital Signage Convergence Service Technology, Jin Woong Kim
Abstract
The latest video coding standard, high efficiency video coding (HEVC), is developed to acquire a more efficient coding performance than the previous standard, H.264/AVC. To achieve this coding performance, elaborate coding tools were implemented in HEVC. Although those tools show a higher coding performance than H.264/AVC, the encoding complexity is heavily increased. Especially, motion estimation (ME) requires the most computational complexity because that is always performed on three inter-prediction modes: uni-directional prediction in List 0 (Uni-L0), uni-directional prediction in List 1 (Uni-L1), and bi-prediction (Bi). In this paper, we propose a priority-based inter-prediction mode decision method to reduce the complexity of ME caused by inter-prediction. The proposed method computes the priorities of all inter-prediction modes and decides whether ME is performed or not. Experimental results show that the proposed method reduces the computational complexity of ME up to 55.51% while maintaining similar coding performance compared to HEVC test model (HM) version 10.1.
KSP Keywords
Bi-Prediction, Coding Tools, Coding performance, Computational complexity, Efficient coding, Encoding complexity, Fast motion estimation, HEVC Test Model(HM), Inter prediction, Motion estimation(ME), Priority-Based