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Low complexity reference frame selection in QTBT structure for JVET future video coding

Authors
Park, Sang HyoDong, TianyuJang, Euee S.
Issue Date
May-2018
Publisher
Institute of Electrical and Electronics Engineers Inc.
Keywords
encoder complexity; FVC; JEM; motion estimation; reference frame search; video coding; video compression
Citation
2018 International Workshop on Advanced Image Technology, IWAIT 2018, pp.1 - 4
Indexed
SCOPUS
Journal Title
2018 International Workshop on Advanced Image Technology, IWAIT 2018
Start Page
1
End Page
4
URI
https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/150144
DOI
10.1109/IWAIT.2018.8369627
ISSN
0000-0000
Abstract
In this paper, we propose a reference frame search method for JVET future video codec (FVC) that employs the quadtree plus binary tree (QTBT) structure. Among many new technologies proposed in FVC, QTBT poses a significant challenge since it contains the structural change of coding tree unit from HEVC. To reduce the encoding complexity of FVC with QTBT structure, we investigated some redundancy in motion estimation process-particularly, the reference frame search. In this paper, we present a method that effectively restricts the reference frame search range of general motion estimation as well as of affine motion estimation, exploiting the dependence within QTBT structure. The proposed method minimizes the maximum of the reference frame search ranges per each coding unit (CU) based on the prediction information of parents node. To be specific, the prediction direction and the index of reference frame of parent node were used. In addition, the proposed method utilizes the information of binary tree depth and of temporal layer to prevent undesired coding loss. The experimental results showed that the proposed method decreased the encoding time of motion estimation by 34% on average in comparison with joint exploration test model (JEM) 3.1, maintaining a reasonable coding efficiency (less than a 0.3% BD-rate loss).
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Jang, Euee S.
COLLEGE OF ENGINEERING (SCHOOL OF COMPUTER SCIENCE)
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