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H.264 SVC Complexity Reduction Based on Likelihood Mode Decision

H.264 Advanced Video Coding (AVC) was prolonged to Scalable Video Coding (SVC). SVC executes in different electronics gadgets such as personal computer, HDTV, SDTV, IPTV, and full-HDTV in which user demands various scaling of the same content. The various scaling is resolution, frame rate, quality,...

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Detalles Bibliográficos
Autores principales: Balaji, L., Thyagharajan, K. K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4499453/
https://www.ncbi.nlm.nih.gov/pubmed/26221623
http://dx.doi.org/10.1155/2015/418437
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author Balaji, L.
Thyagharajan, K. K.
author_facet Balaji, L.
Thyagharajan, K. K.
author_sort Balaji, L.
collection PubMed
description H.264 Advanced Video Coding (AVC) was prolonged to Scalable Video Coding (SVC). SVC executes in different electronics gadgets such as personal computer, HDTV, SDTV, IPTV, and full-HDTV in which user demands various scaling of the same content. The various scaling is resolution, frame rate, quality, heterogeneous networks, bandwidth, and so forth. Scaling consumes more encoding time and computational complexity during mode selection. In this paper, to reduce encoding time and computational complexity, a fast mode decision algorithm based on likelihood mode decision (LMD) is proposed. LMD is evaluated in both temporal and spatial scaling. From the results, we conclude that LMD performs well, when compared to the previous fast mode decision algorithms. The comparison parameters are time, PSNR, and bit rate. LMD achieve time saving of 66.65% with 0.05% detriment in PSNR and 0.17% increment in bit rate compared with the full search method.
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spelling pubmed-44994532015-07-28 H.264 SVC Complexity Reduction Based on Likelihood Mode Decision Balaji, L. Thyagharajan, K. K. ScientificWorldJournal Research Article H.264 Advanced Video Coding (AVC) was prolonged to Scalable Video Coding (SVC). SVC executes in different electronics gadgets such as personal computer, HDTV, SDTV, IPTV, and full-HDTV in which user demands various scaling of the same content. The various scaling is resolution, frame rate, quality, heterogeneous networks, bandwidth, and so forth. Scaling consumes more encoding time and computational complexity during mode selection. In this paper, to reduce encoding time and computational complexity, a fast mode decision algorithm based on likelihood mode decision (LMD) is proposed. LMD is evaluated in both temporal and spatial scaling. From the results, we conclude that LMD performs well, when compared to the previous fast mode decision algorithms. The comparison parameters are time, PSNR, and bit rate. LMD achieve time saving of 66.65% with 0.05% detriment in PSNR and 0.17% increment in bit rate compared with the full search method. Hindawi Publishing Corporation 2015 2015-06-28 /pmc/articles/PMC4499453/ /pubmed/26221623 http://dx.doi.org/10.1155/2015/418437 Text en Copyright © 2015 L. Balaji and K. K. Thyagharajan. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Balaji, L.
Thyagharajan, K. K.
H.264 SVC Complexity Reduction Based on Likelihood Mode Decision
title H.264 SVC Complexity Reduction Based on Likelihood Mode Decision
title_full H.264 SVC Complexity Reduction Based on Likelihood Mode Decision
title_fullStr H.264 SVC Complexity Reduction Based on Likelihood Mode Decision
title_full_unstemmed H.264 SVC Complexity Reduction Based on Likelihood Mode Decision
title_short H.264 SVC Complexity Reduction Based on Likelihood Mode Decision
title_sort h.264 svc complexity reduction based on likelihood mode decision
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4499453/
https://www.ncbi.nlm.nih.gov/pubmed/26221623
http://dx.doi.org/10.1155/2015/418437
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