DC Field | Value | Language |
---|---|---|
dc.contributor.author | Choi, Giyong | ko |
dc.contributor.author | Heo, Pyeong Gang | ko |
dc.contributor.author | Park, HyunWook | ko |
dc.date.accessioned | 2019-05-29T02:25:57Z | - |
dc.date.available | 2019-05-29T02:25:57Z | - |
dc.date.created | 2019-05-28 | - |
dc.date.issued | 2019-05 | - |
dc.identifier.citation | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, v.29, no.5, pp.1251 - 1258 | - |
dc.identifier.issn | 1051-8215 | - |
dc.identifier.uri | http://hdl.handle.net/10203/262264 | - |
dc.description.abstract | In this paper, new motion estimation (ME) and motion vector refinement (MVR) methods for motion-compensated frame interpolation (MCFI) are proposed. To estimate motion vectors (MVs) with great reliability, triple-frame-based bi-directional ME (TFBME), which employs three sequential frames, is developed. In TFBME, the middle frame works as a reference to estimate MVs between two end frames, which leads to performance improvement especially when objects move linearly through three sequential frames. In addition, a modified bi-directional ME method, which employs only two successive frames, is combined with TFBME to handle cases in which objects move non-linearly through three sequential frames. In our proposed MVR, artifacts on interpolated frames are first detected by a convolutional neural network and then corrected by weighted vector median filtering. Experimental results show that the proposed MCFI method outperforms conventional methods in both subjective and objective evaluations. | - |
dc.language | English | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | Triple-Frame-Based Bi-Directional Motion Estimation for Motion-Compensated Frame Interpolation | - |
dc.type | Article | - |
dc.identifier.wosid | 000467063100002 | - |
dc.identifier.scopusid | 2-s2.0-85047603390 | - |
dc.type.rims | ART | - |
dc.citation.volume | 29 | - |
dc.citation.issue | 5 | - |
dc.citation.beginningpage | 1251 | - |
dc.citation.endingpage | 1258 | - |
dc.citation.publicationname | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY | - |
dc.identifier.doi | 10.1109/TCSVT.2018.2840842 | - |
dc.contributor.localauthor | Park, HyunWook | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Convolutional neural networks | - |
dc.subject.keywordAuthor | frame rate up-conversion | - |
dc.subject.keywordAuthor | motion-compensated frame interpolation | - |
dc.subject.keywordAuthor | motion estimation | - |
dc.subject.keywordAuthor | motion vector refinement | - |
dc.subject.keywordPlus | VIDEO | - |
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