Open AccessMotion‐Vector Refinement for Video Error Concealment Using Downhill Simplex Approach
Author(s) -
Kim DoHyun,
Kwon YoungJin,
Choi KyoungHo
Publication year - 2018
Publication title -
etri journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.295
H-Index - 46
eISSN - 2233-7326
pISSN - 1225-6463
DOI - 10.4218/etrij.2017-0078
Subject(s) - robustness (evolution) , computer science , motion vector , coding (social sciences) , computer vision , boundary (topology) , motion estimation , simplex , algorithm , artificial intelligence , mathematics , image (mathematics) , geometry , biochemistry , chemistry , statistics , gene , mathematical analysis
In error‐prone wireless environments, it is difficult to realize video coding systems that are robust to various types of data loss. In this paper, a novel motion‐vector refinement approach is presented for video error concealment. A traditional boundary‐matching approach is exploited to reduce blocky effects along the block boundary. More specifically, a downhill simplex approach is combined with a boundary‐matching approach to fine‐tune the motion vectors, reducing the blocky effects along the prediction unit block boundary, and minimizing the computational cost. Extensive simulations are performed, and the results obtained verify the robustness and effectiveness of the proposed approach.