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Multimedia Systems
Erschienen in: Multimedia Systems 3/2018

25.03.2017 | Regular Paper

Restricted affine motion compensation and estimation in video coding with particle filtering and importance sampling: a multi-resolution approach

verfasst von: Mithilesh Kumar Jha, Ravi Chaudhary, Sumantra Dutta Roy, Mona Mathur, Brejesh Lall

Erschienen in: Multimedia Systems | Ausgabe 3/2018

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Abstract

In this paper, we propose a multi-resolution affine block-based tracker for motion estimation and compensation, compatible with existing video coding standards such as H.264 and HEVC. We propose three modifications to traditional motion compensation techniques in video coding standards such as H.264 and HEVC. First, we replace traditional search methods with an efficient particle filtering-based method, which incorporates information from both spatial and temporal continuity. Second, we use a higher order linear model in place of the traditional translation motion model in these standards to efficiently represent complex motions such as rotation and zoom. Third, we propose a multi-resolution framework that enables efficient parameter estimation. Results of extensive experimentation show reduced residual energy and better Peak Signal-to-Noise Ratio (PSNR, hereafter) as compared to H.264/HEVC for instance, especially in regions of complex motion such as zooming and rotation.
Vorheriger Artikel Multilevel active registration for kinect human body scans: from low quality to high quality
Nächster Artikel MOS estimation model development using ACR listening-opinion tests with Thai users referring to loss effects: a case of G.726 and G.729

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Metadaten
Titel
Restricted affine motion compensation and estimation in video coding with particle filtering and importance sampling: a multi-resolution approach
verfasst von
Mithilesh Kumar Jha
Ravi Chaudhary
Sumantra Dutta Roy
Mona Mathur
Brejesh Lall
Publikationsdatum
25.03.2017
Verlag
Springer Berlin Heidelberg
Erschienen in
Multimedia Systems / Ausgabe 3/2018
Print ISSN: 0942-4962
Elektronische ISSN: 1432-1882
DOI
https://doi.org/10.1007/s00530-017-0543-z

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