Stochastic Modeling of the Spatiotemporal Wavelet Coefficients and Applications to Quality Enhancement and Error Concealment
<p/> <p>We extend a stochastic model of hierarchical dependencies between wavelet coefficients of still images to the spatiotemporal decomposition of video sequences, obtained by a motion-compensated <inline-formula><graphic file="1687-6180-2004-402678-i1.gif"/><...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
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SpringerOpen
2004-01-01
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| Series: | EURASIP Journal on Advances in Signal Processing |
| Subjects: | |
| Online Access: | http://dx.doi.org/10.1155/S1110865704402327 |
| _version_ | 1818433180288417792 |
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| author | Feideropoulou Georgia Pesquet-Popescu Béatrice |
| author_facet | Feideropoulou Georgia Pesquet-Popescu Béatrice |
| author_sort | Feideropoulou Georgia |
| collection | DOAJ |
| description | <p/> <p>We extend a stochastic model of hierarchical dependencies between wavelet coefficients of still images to the spatiotemporal decomposition of video sequences, obtained by a motion-compensated <inline-formula><graphic file="1687-6180-2004-402678-i1.gif"/></inline-formula> wavelet decomposition. We propose new estimators for the parameters of this model which provide better statistical performances. Based on this model, we deduce an optimal predictor of missing samples in the spatiotemporal wavelet domain and use it in two applications: quality enhancement and error concealment of scalable video transmitted over packet networks. Simulation results show significant quality improvement achieved by this technique with different packetization strategies for a scalable video bit stream.</p> |
| first_indexed | 2024-12-14T16:17:00Z |
| format | Article |
| id | doaj.art-e92309c31a794add903e604be1761784 |
| institution | Directory Open Access Journal |
| issn | 1687-6172 1687-6180 |
| language | English |
| last_indexed | 2024-12-14T16:17:00Z |
| publishDate | 2004-01-01 |
| publisher | SpringerOpen |
| record_format | Article |
| series | EURASIP Journal on Advances in Signal Processing |
| spelling | doaj.art-e92309c31a794add903e604be17617842022-12-21T22:54:54ZengSpringerOpenEURASIP Journal on Advances in Signal Processing1687-61721687-61802004-01-01200412402678Stochastic Modeling of the Spatiotemporal Wavelet Coefficients and Applications to Quality Enhancement and Error ConcealmentFeideropoulou GeorgiaPesquet-Popescu Béatrice<p/> <p>We extend a stochastic model of hierarchical dependencies between wavelet coefficients of still images to the spatiotemporal decomposition of video sequences, obtained by a motion-compensated <inline-formula><graphic file="1687-6180-2004-402678-i1.gif"/></inline-formula> wavelet decomposition. We propose new estimators for the parameters of this model which provide better statistical performances. Based on this model, we deduce an optimal predictor of missing samples in the spatiotemporal wavelet domain and use it in two applications: quality enhancement and error concealment of scalable video transmitted over packet networks. Simulation results show significant quality improvement achieved by this technique with different packetization strategies for a scalable video bit stream.</p>http://dx.doi.org/10.1155/S1110865704402327waveletsspatiotemporal decompositionsstochastic modelinghierarchical dependenciesvideo qualityscalability |
| spellingShingle | Feideropoulou Georgia Pesquet-Popescu Béatrice Stochastic Modeling of the Spatiotemporal Wavelet Coefficients and Applications to Quality Enhancement and Error Concealment EURASIP Journal on Advances in Signal Processing wavelets spatiotemporal decompositions stochastic modeling hierarchical dependencies video quality scalability |
| title | Stochastic Modeling of the Spatiotemporal Wavelet Coefficients and Applications to Quality Enhancement and Error Concealment |
| title_full | Stochastic Modeling of the Spatiotemporal Wavelet Coefficients and Applications to Quality Enhancement and Error Concealment |
| title_fullStr | Stochastic Modeling of the Spatiotemporal Wavelet Coefficients and Applications to Quality Enhancement and Error Concealment |
| title_full_unstemmed | Stochastic Modeling of the Spatiotemporal Wavelet Coefficients and Applications to Quality Enhancement and Error Concealment |
| title_short | Stochastic Modeling of the Spatiotemporal Wavelet Coefficients and Applications to Quality Enhancement and Error Concealment |
| title_sort | stochastic modeling of the spatiotemporal wavelet coefficients and applications to quality enhancement and error concealment |
| topic | wavelets spatiotemporal decompositions stochastic modeling hierarchical dependencies video quality scalability |
| url | http://dx.doi.org/10.1155/S1110865704402327 |
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