Analysis of Affine Motion-Compensated Prediction in Video Coding

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dc.identifier.uri http://dx.doi.org/10.15488/10719
dc.identifier.uri https://www.repo.uni-hannover.de/handle/123456789/10797
dc.contributor.author Meuel, Holger
dc.contributor.author Ostermann, Jörn
dc.date.accessioned 2021-03-31T06:01:23Z
dc.date.available 2021-03-31T06:01:23Z
dc.date.issued 2020
dc.identifier.citation Meuel, H.; Ostermann, J.: Analysis of Affine Motion-Compensated Prediction in Video Coding. In: IEEE Transactions on Image Processing 29 (2020), S. 7359-7374. DOI: https://doi.org/10.1109/TIP.2020.3001734
dc.description.abstract Motion-compensated prediction is used in video coding standards like High Efficiency Video Coding (HEVC) as one key element of data compression. Commonly, a purely translational motion model is employed. In order to also cover non-translational motion types like rotation or scaling (zoom), e. g. contained in aerial video sequences such as captured from unmanned aerial vehicles (UAV), an affine motion model can be applied. In this work, a model for affine motion-compensated prediction in video coding is derived. Using the rate-distortion theory and the displacement estimation error caused by inaccurate affine motion parameter estimation, the minimum required bit rate for encoding the prediction error is determined. In this model, the affine transformation parameters are assumed to be affected by statistically independent estimation errors, which all follow a zero-mean Gaussian distributed probability density function (pdf). The joint pdf of the estimation errors is derived and transformed into the pdfof the location-dependent displacement estimation error in the image. The latter is related to the minimum required bit rate for encoding the prediction error. Similar to the derivations of the fully affine motion model, a four-parameter simplified affine model is investigated. Both models are of particular interest since they are considered for the upcoming video coding standard Versatile Video Coding (VVC) succeeding HEVC. Both models provide valuable information about the minimum bit rate for encoding the prediction error as a function of affine estimation accuracies. © 1992-2012 IEEE. eng
dc.language.iso eng
dc.publisher New York, NY : Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartofseries IEEE Transactions on Image Processing 29 (2020)
dc.rights CC BY 4.0 Unported
dc.rights.uri https://creativecommons.org/licenses/by/4.0/
dc.subject (simplified) affine motion-compensated prediction (MCP) eng
dc.subject rate-distortion theory eng
dc.subject Versatile Video Coding (VVC) eng
dc.subject Video coding eng
dc.subject.ddc 004 | Informatik ger
dc.subject.ddc 600 | Technik ger
dc.subject.ddc 620 | Ingenieurwissenschaften und Maschinenbau ger
dc.title Analysis of Affine Motion-Compensated Prediction in Video Coding
dc.type article
dc.type Text
dc.relation.essn 1941-0042
dc.relation.issn 1057-7149
dc.relation.doi https://doi.org/10.1109/TIP.2020.3001734
dc.bibliographicCitation.volume 29
dc.bibliographicCitation.firstPage 7359
dc.bibliographicCitation.lastPage 7374
dc.description.version publishedVersion
tib.accessRights frei zug�nglich


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