Motion-Compensated Frame Interpolation Based on Multihypothesis Motion Estimation and Texture Optimization
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Jeong, Seong-Gyun | - |
dc.contributor.author | Lee, Chul | - |
dc.contributor.author | Kim, Chang-Su | - |
dc.date.accessioned | 2021-09-05T19:47:05Z | - |
dc.date.available | 2021-09-05T19:47:05Z | - |
dc.date.created | 2021-06-15 | - |
dc.date.issued | 2013-11 | - |
dc.identifier.issn | 1057-7149 | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/101780 | - |
dc.description.abstract | A novel motion-compensated frame interpolation (MCFI) algorithm to increase video temporal resolutions based on multihypothesis motion estimation and texture optimization is proposed in this paper. Initially, we form multiple motion hypotheses for each pixel by employing different motion estimation parameters, i.e., different block sizes and directions. Then, we determine the best motion hypothesis for each pixel by solving a labeling problem and optimizing the parameters. In the labeling problem, the cost function is composed of color, shape, and smoothness terms. Finally, we refine the motion hypothesis field based on the texture optimization technique and blend multiple source pixels to interpolate each pixel in the intermediate frame. Simulation results demonstrate that the proposed algorithm provides significantly better MCFI performance than conventional algorithms. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.subject | ENERGY MINIMIZATION | - |
dc.subject | SEARCH ALGORITHM | - |
dc.subject | PREDICTION | - |
dc.title | Motion-Compensated Frame Interpolation Based on Multihypothesis Motion Estimation and Texture Optimization | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | Kim, Chang-Su | - |
dc.identifier.doi | 10.1109/TIP.2013.2274731 | - |
dc.identifier.scopusid | 2-s2.0-84884566891 | - |
dc.identifier.wosid | 000324597800027 | - |
dc.identifier.bibliographicCitation | IEEE TRANSACTIONS ON IMAGE PROCESSING, v.22, no.11, pp.4497 - 4509 | - |
dc.relation.isPartOf | IEEE TRANSACTIONS ON IMAGE PROCESSING | - |
dc.citation.title | IEEE TRANSACTIONS ON IMAGE PROCESSING | - |
dc.citation.volume | 22 | - |
dc.citation.number | 11 | - |
dc.citation.startPage | 4497 | - |
dc.citation.endPage | 4509 | - |
dc.type.rims | ART | - |
dc.type.docType | Article | - |
dc.description.journalClass | 1 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.relation.journalResearchArea | Computer Science | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalWebOfScienceCategory | Computer Science, Artificial Intelligence | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.subject.keywordPlus | ENERGY MINIMIZATION | - |
dc.subject.keywordPlus | SEARCH ALGORITHM | - |
dc.subject.keywordPlus | PREDICTION | - |
dc.subject.keywordAuthor | Motion-compensated frame interpolation | - |
dc.subject.keywordAuthor | frame rate up-conversion | - |
dc.subject.keywordAuthor | multihypothesis motion estimation | - |
dc.subject.keywordAuthor | exemplar-based texture synthesis | - |
dc.subject.keywordAuthor | video segmentation | - |
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