Motion‐Vector Refinement for Video Error Concealment Using Downhill Simplex Approach
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 bloc...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Electronics and Telecommunications Research Institute (ETRI)
2018-04-01
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| Series: | ETRI Journal |
| Subjects: | |
| Online Access: | https://doi.org/10.4218/etrij.2017-0078 |
| _version_ | 1819128411644231680 |
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| author | Do‐Hyun Kim Young‐Jin Kwon Kyoung‐Ho Choi |
| author_facet | Do‐Hyun Kim Young‐Jin Kwon Kyoung‐Ho Choi |
| author_sort | Do‐Hyun Kim |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-22T08:27:24Z |
| format | Article |
| id | doaj.art-44b9146166dd4375bbcbd712f3399763 |
| institution | Directory Open Access Journal |
| issn | 1225-6463 2233-7326 |
| language | English |
| last_indexed | 2024-12-22T08:27:24Z |
| publishDate | 2018-04-01 |
| publisher | Electronics and Telecommunications Research Institute (ETRI) |
| record_format | Article |
| series | ETRI Journal |
| spelling | doaj.art-44b9146166dd4375bbcbd712f33997632022-12-21T18:32:35ZengElectronics and Telecommunications Research Institute (ETRI)ETRI Journal1225-64632233-73262018-04-0140226627410.4218/etrij.2017-007810.4218/etrij.2017-0078Motion‐Vector Refinement for Video Error Concealment Using Downhill Simplex ApproachDo‐Hyun KimYoung‐Jin KwonKyoung‐Ho ChoiIn 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.https://doi.org/10.4218/etrij.2017-0078Block boundary errorsDownhill SimplexOptimizationVideo error concealment |
| spellingShingle | Do‐Hyun Kim Young‐Jin Kwon Kyoung‐Ho Choi Motion‐Vector Refinement for Video Error Concealment Using Downhill Simplex Approach ETRI Journal Block boundary errors Downhill Simplex Optimization Video error concealment |
| title | Motion‐Vector Refinement for Video Error Concealment Using Downhill Simplex Approach |
| title_full | Motion‐Vector Refinement for Video Error Concealment Using Downhill Simplex Approach |
| title_fullStr | Motion‐Vector Refinement for Video Error Concealment Using Downhill Simplex Approach |
| title_full_unstemmed | Motion‐Vector Refinement for Video Error Concealment Using Downhill Simplex Approach |
| title_short | Motion‐Vector Refinement for Video Error Concealment Using Downhill Simplex Approach |
| title_sort | motion vector refinement for video error concealment using downhill simplex approach |
| topic | Block boundary errors Downhill Simplex Optimization Video error concealment |
| url | https://doi.org/10.4218/etrij.2017-0078 |
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