Restricted affine motion compensation and estimation in video coding with particle filtering and importance sampling: a multi-resolution approach
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...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Jha, Mithilesh Kumar [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
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| Anmerkung: |
© Springer-Verlag Berlin Heidelberg 2017 |
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| Übergeordnetes Werk: |
Enthalten in: Multimedia systems - Springer Berlin Heidelberg, 1993, 24(2017), 3 vom: 25. März, Seite 271-284 |
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| Übergeordnetes Werk: |
volume:24 ; year:2017 ; number:3 ; day:25 ; month:03 ; pages:271-284 |
| Links: |
|---|
| DOI / URN: |
10.1007/s00530-017-0543-z |
|---|
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OLC2071074394 |
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| 520 | |a 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. | ||
| 650 | 4 | |a Restricted affine model | |
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| 700 | 1 | |a Mathur, Mona |4 aut | |
| 700 | 1 | |a Lall, Brejesh |4 aut | |
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10.1007/s00530-017-0543-z doi (DE-627)OLC2071074394 (DE-He213)s00530-017-0543-z-p DE-627 ger DE-627 rakwb eng 004 VZ 24,1 ssgn 54.00 bkl Jha, Mithilesh Kumar verfasserin aut Restricted affine motion compensation and estimation in video coding with particle filtering and importance sampling: a multi-resolution approach 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag Berlin Heidelberg 2017 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. Restricted affine model Particle filter Importance sampling Multi-resolution Chaudhary, Ravi aut Roy, Sumantra Dutta aut Mathur, Mona aut Lall, Brejesh aut Enthalten in Multimedia systems Springer Berlin Heidelberg, 1993 24(2017), 3 vom: 25. März, Seite 271-284 (DE-627)171214684 (DE-600)1166499-X (DE-576)03871857X 0942-4962 nnns volume:24 year:2017 number:3 day:25 month:03 pages:271-284 https://doi.org/10.1007/s00530-017-0543-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-MKW SSG-OLC-BUB SSG-OPC-BBI GBV_ILN_70 GBV_ILN_185 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4277 GBV_ILN_4318 54.00 VZ AR 24 2017 3 25 03 271-284 |
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10.1007/s00530-017-0543-z doi (DE-627)OLC2071074394 (DE-He213)s00530-017-0543-z-p DE-627 ger DE-627 rakwb eng 004 VZ 24,1 ssgn 54.00 bkl Jha, Mithilesh Kumar verfasserin aut Restricted affine motion compensation and estimation in video coding with particle filtering and importance sampling: a multi-resolution approach 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag Berlin Heidelberg 2017 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. Restricted affine model Particle filter Importance sampling Multi-resolution Chaudhary, Ravi aut Roy, Sumantra Dutta aut Mathur, Mona aut Lall, Brejesh aut Enthalten in Multimedia systems Springer Berlin Heidelberg, 1993 24(2017), 3 vom: 25. März, Seite 271-284 (DE-627)171214684 (DE-600)1166499-X (DE-576)03871857X 0942-4962 nnns volume:24 year:2017 number:3 day:25 month:03 pages:271-284 https://doi.org/10.1007/s00530-017-0543-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-MKW SSG-OLC-BUB SSG-OPC-BBI GBV_ILN_70 GBV_ILN_185 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4277 GBV_ILN_4318 54.00 VZ AR 24 2017 3 25 03 271-284 |
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10.1007/s00530-017-0543-z doi (DE-627)OLC2071074394 (DE-He213)s00530-017-0543-z-p DE-627 ger DE-627 rakwb eng 004 VZ 24,1 ssgn 54.00 bkl Jha, Mithilesh Kumar verfasserin aut Restricted affine motion compensation and estimation in video coding with particle filtering and importance sampling: a multi-resolution approach 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier © Springer-Verlag Berlin Heidelberg 2017 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. Restricted affine model Particle filter Importance sampling Multi-resolution Chaudhary, Ravi aut Roy, Sumantra Dutta aut Mathur, Mona aut Lall, Brejesh aut Enthalten in Multimedia systems Springer Berlin Heidelberg, 1993 24(2017), 3 vom: 25. März, Seite 271-284 (DE-627)171214684 (DE-600)1166499-X (DE-576)03871857X 0942-4962 nnns volume:24 year:2017 number:3 day:25 month:03 pages:271-284 https://doi.org/10.1007/s00530-017-0543-z lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-MAT SSG-OLC-MKW SSG-OLC-BUB SSG-OPC-BBI GBV_ILN_70 GBV_ILN_185 GBV_ILN_2018 GBV_ILN_4012 GBV_ILN_4277 GBV_ILN_4318 54.00 VZ AR 24 2017 3 25 03 271-284 |
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2017 |
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271 |
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Jha, Mithilesh Kumar Chaudhary, Ravi Roy, Sumantra Dutta Mathur, Mona Lall, Brejesh |
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24 |
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Jha, Mithilesh Kumar |
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10.1007/s00530-017-0543-z |
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004 |
| title_sort |
restricted affine motion compensation and estimation in video coding with particle filtering and importance sampling: a multi-resolution approach |
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Restricted affine motion compensation and estimation in video coding with particle filtering and importance sampling: a multi-resolution approach |
| abstract |
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. © Springer-Verlag Berlin Heidelberg 2017 |
| abstractGer |
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. © Springer-Verlag Berlin Heidelberg 2017 |
| abstract_unstemmed |
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. © Springer-Verlag Berlin Heidelberg 2017 |
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| title_short |
Restricted affine motion compensation and estimation in video coding with particle filtering and importance sampling: a multi-resolution approach |
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https://doi.org/10.1007/s00530-017-0543-z |
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Chaudhary, Ravi Roy, Sumantra Dutta Mathur, Mona Lall, Brejesh |
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