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Journal Article
Motion-Vector Refinement for Video Error Concealment Using Downhill Simplex Approach
- Authors
- Do-Hyun Kim, Young-Jin Kwon, Kyoung-Ho Choi
- Issue Date
- 2018-04
- Citation
- ETRI Journal, v.40, no.2, pp.266-274
- ISSN
- 1225-6463
- Publisher
- 한국전자통신연구원 (ETRI)
- Language
- English
- Type
- Journal Article
- Project Code
- 17ZS1600, Smart digital cockpit system for electric vehicle, Kim Do Hyun
- Abstract
- In error-prone wireless environments, it is difficult to혻realize 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.
- KSP Keywords
- Coding system, Data loss, Downhill simplex, Matching approach, Motion Vector(MV), Video coding, Video error concealment, computational cost, prediction unit
This work is distributed under the term of Korea Open Government License (KOGL)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
(Type 4: : Type 1 + Commercial Use Prohibition+Change Prohibition)
