A Motion Aided Merge Mode For Hevc
Hao Li, Kui Fan, Ronggang Wang, Ge Li, Wenmin Wang
Abstract
Merge prediction is a practical inter-technique in HEVC, which can significantly improve the coding efficiency, especially for homogeneous regions in video sequences. In this paper, a motion aided merge mode (MAMM) is proposed to achieve a better trade-off between the prediction accuracy and bit rate. Different from the traditional merge mode in HEVC, MAMM is accomplished by a small motion obtained by searching in a specific search region. The search range is comprised of a number of points with high occurrence possibilities. The motion vector difference (MVD) is coded by Huffman coding in MAMM and the Huffman coding table is generated according to the statistical frequency of each possible MVD value. The proposed method is implemented on top of the HEVC reference software (HM −16.15), and experimental results show that 0.6% BD-rate reduction is achieved under Random Access (RA) configuration.
BibTeX
@inproceedings{icassp2018_amotionaidedmerg,
title = {A Motion Aided Merge Mode For Hevc},
author = {Hao Li and Kui Fan and Ronggang Wang and Ge Li and Wenmin Wang},
booktitle = {ICASSP 2018},
year = {2018}
}