Statistical Multiplexing of H.264 programms
| Autor(a) principal: | |
|---|---|
| Data de Publicação: | 2007 |
| Outros Autores: | |
| Idioma: | eng |
| Título da fonte: | Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
| Texto Completo: | http://hdl.handle.net/10400.14/4475 |
Resumo: | The advent of H.264/AVC is going to change the way Digital Television programs are broadcast. Each program can be independently encoded or jointly encoded resulting thus in a more efficient way to distribute the available channel bandwidth. This paper presents a combined coding scheme for multi-program video transmission in which the channel capacity is distributed among the programs according to the program complexities. A complexity bit rate control algorithm based on the Structural Similarity Index (SSIM) is proposed. SSIM metric is presented under the hypothesis that the Human Visual System (HSV) is very specialized in extracting structural information from a video sequence but not in extracting the errors. Thus, a measurement on structural distortion should give a better correlation to the subjective impression. Current simulations have demonstrated very promising results showing that the algorithm can effectively control the complexity of the multi-program encoding process whilst improving overall subjective. |
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Statistical Multiplexing of H.264 programmsThe advent of H.264/AVC is going to change the way Digital Television programs are broadcast. Each program can be independently encoded or jointly encoded resulting thus in a more efficient way to distribute the available channel bandwidth. This paper presents a combined coding scheme for multi-program video transmission in which the channel capacity is distributed among the programs according to the program complexities. A complexity bit rate control algorithm based on the Structural Similarity Index (SSIM) is proposed. SSIM metric is presented under the hypothesis that the Human Visual System (HSV) is very specialized in extracting structural information from a video sequence but not in extracting the errors. Thus, a measurement on structural distortion should give a better correlation to the subjective impression. Current simulations have demonstrated very promising results showing that the algorithm can effectively control the complexity of the multi-program encoding process whilst improving overall subjective.VeritatiTeixeira, Luis Miguel LopesCorte-Real, Luís2011-06-21T11:02:02Z20072011-04-13T17:20:01Z2007-01-01T00:00:00Zconference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/10400.14/4475eng978-1-4244-1355-3info:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2025-03-13T15:45:56Zoai:repositorio.ucp.pt:10400.14/4475Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-29T02:15:18.307105Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse |
| dc.title.none.fl_str_mv |
Statistical Multiplexing of H.264 programms |
| title |
Statistical Multiplexing of H.264 programms |
| spellingShingle |
Statistical Multiplexing of H.264 programms Teixeira, Luis Miguel Lopes |
| title_short |
Statistical Multiplexing of H.264 programms |
| title_full |
Statistical Multiplexing of H.264 programms |
| title_fullStr |
Statistical Multiplexing of H.264 programms |
| title_full_unstemmed |
Statistical Multiplexing of H.264 programms |
| title_sort |
Statistical Multiplexing of H.264 programms |
| author |
Teixeira, Luis Miguel Lopes |
| author_facet |
Teixeira, Luis Miguel Lopes Corte-Real, Luís |
| author_role |
author |
| author2 |
Corte-Real, Luís |
| author2_role |
author |
| dc.contributor.none.fl_str_mv |
Veritati |
| dc.contributor.author.fl_str_mv |
Teixeira, Luis Miguel Lopes Corte-Real, Luís |
| description |
The advent of H.264/AVC is going to change the way Digital Television programs are broadcast. Each program can be independently encoded or jointly encoded resulting thus in a more efficient way to distribute the available channel bandwidth. This paper presents a combined coding scheme for multi-program video transmission in which the channel capacity is distributed among the programs according to the program complexities. A complexity bit rate control algorithm based on the Structural Similarity Index (SSIM) is proposed. SSIM metric is presented under the hypothesis that the Human Visual System (HSV) is very specialized in extracting structural information from a video sequence but not in extracting the errors. Thus, a measurement on structural distortion should give a better correlation to the subjective impression. Current simulations have demonstrated very promising results showing that the algorithm can effectively control the complexity of the multi-program encoding process whilst improving overall subjective. |
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2007 |
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2007 2007-01-01T00:00:00Z 2011-06-21T11:02:02Z 2011-04-13T17:20:01Z |
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conference object |
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info:eu-repo/semantics/publishedVersion |
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http://hdl.handle.net/10400.14/4475 |
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http://hdl.handle.net/10400.14/4475 |
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eng |
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eng |
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978-1-4244-1355-3 |
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openAccess |
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