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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
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, Fast motion estimation, HEVC Test Model(HM), High Efficiency Video coding(HEVC), Motion estimation(ME), Priority-Based, decision method