DC Field | Value | Language |
---|---|---|
dc.contributor.author | Hyun, Myung Han | ko |
dc.contributor.author | Lee, Bumshik | ko |
dc.contributor.author | Kim, Munchurl | ko |
dc.date.accessioned | 2021-03-02T07:10:07Z | - |
dc.date.available | 2021-03-02T07:10:07Z | - |
dc.date.created | 2020-05-19 | - |
dc.date.created | 2020-05-19 | - |
dc.date.created | 2020-05-19 | - |
dc.date.issued | 2021-02 | - |
dc.identifier.citation | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, v.31, no.2, pp.782 - 797 | - |
dc.identifier.issn | 1051-8215 | - |
dc.identifier.uri | http://hdl.handle.net/10203/281098 | - |
dc.description.abstract | In this paper, we propose a new R/D estimation method for intra-predictive coding with deep block partitioning structures. In our proposed R/D prediction, we adopt a particle filtering based prediction (PFP) to precisely predict intermediate R/D estimates for the next frame in a stochastic manner, which helps increasing the prediction accuracy of fast changing R/D values. Then, based on the intermediate R/D estimates by PFP, we infer an optimal model parameter of the TC’s probability density function (pdf) via convex optimization. We found that the proposed method brings about more stable R/D estimation performance thanks to both the improved prediction accuracy using the PFP for abrupt changes in true R/D values and the precise estimation of the optimal model parameter. Experimental results show that our method significantly reduces the normalized root mean square error from average 3.17 to 0.79 (74.90% reduction) for rate and from average 2.32 to 0.82 (64.61% reduction) for distortion, compared to the state-of-the art method. | - |
dc.language | English | - |
dc.publisher | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC | - |
dc.title | A Novel Rate and Distortion Estimation Method using Particle Filtering based Prediction for Intra-Predictive Coding of Deep Block Partitioning Structures | - |
dc.type | Article | - |
dc.identifier.wosid | 000615044400028 | - |
dc.identifier.scopusid | 2-s2.0-85100543007 | - |
dc.type.rims | ART | - |
dc.citation.volume | 31 | - |
dc.citation.issue | 2 | - |
dc.citation.beginningpage | 782 | - |
dc.citation.endingpage | 797 | - |
dc.citation.publicationname | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY | - |
dc.identifier.doi | 10.1109/TCSVT.2020.2989185 | - |
dc.contributor.localauthor | Kim, Munchurl | - |
dc.description.isOpenAccess | N | - |
dc.type.journalArticle | Article | - |
dc.subject.keywordAuthor | Encoding | - |
dc.subject.keywordAuthor | Transforms | - |
dc.subject.keywordAuthor | Estimation | - |
dc.subject.keywordAuthor | Distortion | - |
dc.subject.keywordAuthor | Copper | - |
dc.subject.keywordAuthor | Rate distortion theory | - |
dc.subject.keywordAuthor | Filtering | - |
dc.subject.keywordAuthor | Rate and distortion estimation | - |
dc.subject.keywordAuthor | particle filtering | - |
dc.subject.keywordAuthor | versatile video coding (VVC) | - |
dc.subject.keywordAuthor | VVC test model (VTM) | - |
dc.subject.keywordAuthor | multi-type tree (MTT) | - |
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.