An Efficient Block Mode Detection Algorithm for Scalable Video Coding using Probability Model

H.264 / AVC expansion is H.264 / SVC which is applicable in environments that demand video streaming. This paper delivers an algorithm to shorten computational complexity and extend coding efficiency by determining the mode speedily. In this writing, the authors talk a fast mode resolution algorithm...
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Autor*in:	Balaji, L. [verfasserIn] Thyagharajan, K.K [verfasserIn] Dhanalakshmi, A. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2015

Umfang:	1 Online-Ressource

Übergeordnetes Werk:	Enthalten in: International journal of system dynamics applications - Hershey, Pa : IGI Global, 2012, 4(2015), 2, Seite 42-55
Übergeordnetes Werk:	volume:4 ; year:2015 ; number:2 ; pages:42-55

Links:	Link aufrufen Abstract

DOI / URN:	10.4018/ijsda.2015040103

Katalog-ID:	NLEJ251828425

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allfields	10.4018/ijsda.2015040103 doi (DE-627)NLEJ251828425 (VZGNL)10.4018/ijsda.2015040103 DE-627 ger DE-627 rakwb eng Balaji, L. verfasserin aut An Efficient Block Mode Detection Algorithm for Scalable Video Coding using Probability Model 2015 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier H.264 / AVC expansion is H.264 / SVC which is applicable in environments that demand video streaming. This paper delivers an algorithm to shorten computational complexity and extend coding efficiency by determining the mode speedily. In this writing, the authors talk a fast mode resolution algorithm with less complexity unlikely the traditional joint scalable video model (JSVM). Their algorithm end mode hunt by a probability model defined. This model is address for both intra-mode and inter-mode predictions of base layer and enhancement layers in a macro block (MB). The estimated rate distortion cost (RDC) for modes among layers is custom to determine the best mode of each MB. The experimental results show that the authors' algorithm realizes 26.9% of encoding time when compared with the JSVM reference software with smallest reduction in peak signal to noise ratio (PSNR) Computation Complexity Fast Mode Decision H.264 Macro Block Probability Model Scalable Video Coding Thyagharajan, K.K verfasserin aut Dhanalakshmi, A. verfasserin aut Enthalten in International journal of system dynamics applications Hershey, Pa : IGI Global, 2012 4(2015), 2, Seite 42-55 Online-Ressource (DE-627)NLEJ244419469 (DE-600)2703813-0 2160-9799 nnns volume:4 year:2015 number:2 pages:42-55 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijsda.2015040103 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijsda.2015040103&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 4 2015 2 42-55
spelling	10.4018/ijsda.2015040103 doi (DE-627)NLEJ251828425 (VZGNL)10.4018/ijsda.2015040103 DE-627 ger DE-627 rakwb eng Balaji, L. verfasserin aut An Efficient Block Mode Detection Algorithm for Scalable Video Coding using Probability Model 2015 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier H.264 / AVC expansion is H.264 / SVC which is applicable in environments that demand video streaming. This paper delivers an algorithm to shorten computational complexity and extend coding efficiency by determining the mode speedily. In this writing, the authors talk a fast mode resolution algorithm with less complexity unlikely the traditional joint scalable video model (JSVM). Their algorithm end mode hunt by a probability model defined. This model is address for both intra-mode and inter-mode predictions of base layer and enhancement layers in a macro block (MB). The estimated rate distortion cost (RDC) for modes among layers is custom to determine the best mode of each MB. The experimental results show that the authors' algorithm realizes 26.9% of encoding time when compared with the JSVM reference software with smallest reduction in peak signal to noise ratio (PSNR) Computation Complexity Fast Mode Decision H.264 Macro Block Probability Model Scalable Video Coding Thyagharajan, K.K verfasserin aut Dhanalakshmi, A. verfasserin aut Enthalten in International journal of system dynamics applications Hershey, Pa : IGI Global, 2012 4(2015), 2, Seite 42-55 Online-Ressource (DE-627)NLEJ244419469 (DE-600)2703813-0 2160-9799 nnns volume:4 year:2015 number:2 pages:42-55 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijsda.2015040103 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijsda.2015040103&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 4 2015 2 42-55
allfields_unstemmed	10.4018/ijsda.2015040103 doi (DE-627)NLEJ251828425 (VZGNL)10.4018/ijsda.2015040103 DE-627 ger DE-627 rakwb eng Balaji, L. verfasserin aut An Efficient Block Mode Detection Algorithm for Scalable Video Coding using Probability Model 2015 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier H.264 / AVC expansion is H.264 / SVC which is applicable in environments that demand video streaming. This paper delivers an algorithm to shorten computational complexity and extend coding efficiency by determining the mode speedily. In this writing, the authors talk a fast mode resolution algorithm with less complexity unlikely the traditional joint scalable video model (JSVM). Their algorithm end mode hunt by a probability model defined. This model is address for both intra-mode and inter-mode predictions of base layer and enhancement layers in a macro block (MB). The estimated rate distortion cost (RDC) for modes among layers is custom to determine the best mode of each MB. The experimental results show that the authors' algorithm realizes 26.9% of encoding time when compared with the JSVM reference software with smallest reduction in peak signal to noise ratio (PSNR) Computation Complexity Fast Mode Decision H.264 Macro Block Probability Model Scalable Video Coding Thyagharajan, K.K verfasserin aut Dhanalakshmi, A. verfasserin aut Enthalten in International journal of system dynamics applications Hershey, Pa : IGI Global, 2012 4(2015), 2, Seite 42-55 Online-Ressource (DE-627)NLEJ244419469 (DE-600)2703813-0 2160-9799 nnns volume:4 year:2015 number:2 pages:42-55 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijsda.2015040103 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijsda.2015040103&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 4 2015 2 42-55
allfieldsGer	10.4018/ijsda.2015040103 doi (DE-627)NLEJ251828425 (VZGNL)10.4018/ijsda.2015040103 DE-627 ger DE-627 rakwb eng Balaji, L. verfasserin aut An Efficient Block Mode Detection Algorithm for Scalable Video Coding using Probability Model 2015 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier H.264 / AVC expansion is H.264 / SVC which is applicable in environments that demand video streaming. This paper delivers an algorithm to shorten computational complexity and extend coding efficiency by determining the mode speedily. In this writing, the authors talk a fast mode resolution algorithm with less complexity unlikely the traditional joint scalable video model (JSVM). Their algorithm end mode hunt by a probability model defined. This model is address for both intra-mode and inter-mode predictions of base layer and enhancement layers in a macro block (MB). The estimated rate distortion cost (RDC) for modes among layers is custom to determine the best mode of each MB. The experimental results show that the authors' algorithm realizes 26.9% of encoding time when compared with the JSVM reference software with smallest reduction in peak signal to noise ratio (PSNR) Computation Complexity Fast Mode Decision H.264 Macro Block Probability Model Scalable Video Coding Thyagharajan, K.K verfasserin aut Dhanalakshmi, A. verfasserin aut Enthalten in International journal of system dynamics applications Hershey, Pa : IGI Global, 2012 4(2015), 2, Seite 42-55 Online-Ressource (DE-627)NLEJ244419469 (DE-600)2703813-0 2160-9799 nnns volume:4 year:2015 number:2 pages:42-55 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijsda.2015040103 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijsda.2015040103&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 4 2015 2 42-55
allfieldsSound	10.4018/ijsda.2015040103 doi (DE-627)NLEJ251828425 (VZGNL)10.4018/ijsda.2015040103 DE-627 ger DE-627 rakwb eng Balaji, L. verfasserin aut An Efficient Block Mode Detection Algorithm for Scalable Video Coding using Probability Model 2015 1 Online-Ressource Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier H.264 / AVC expansion is H.264 / SVC which is applicable in environments that demand video streaming. This paper delivers an algorithm to shorten computational complexity and extend coding efficiency by determining the mode speedily. In this writing, the authors talk a fast mode resolution algorithm with less complexity unlikely the traditional joint scalable video model (JSVM). Their algorithm end mode hunt by a probability model defined. This model is address for both intra-mode and inter-mode predictions of base layer and enhancement layers in a macro block (MB). The estimated rate distortion cost (RDC) for modes among layers is custom to determine the best mode of each MB. The experimental results show that the authors' algorithm realizes 26.9% of encoding time when compared with the JSVM reference software with smallest reduction in peak signal to noise ratio (PSNR) Computation Complexity Fast Mode Decision H.264 Macro Block Probability Model Scalable Video Coding Thyagharajan, K.K verfasserin aut Dhanalakshmi, A. verfasserin aut Enthalten in International journal of system dynamics applications Hershey, Pa : IGI Global, 2012 4(2015), 2, Seite 42-55 Online-Ressource (DE-627)NLEJ244419469 (DE-600)2703813-0 2160-9799 nnns volume:4 year:2015 number:2 pages:42-55 http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijsda.2015040103 X:IGIG Verlag Deutschlandweit zugänglich http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijsda.2015040103&buylink=true Abstract ZDB-1-GIS GBV_NL_ARTICLE AR 4 2015 2 42-55
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author	Balaji, L.
spellingShingle	Balaji, L. misc Computation Complexity An Efficient Block Mode Detection Algorithm for Scalable Video Coding using Probability Model
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title_auth	An Efficient Block Mode Detection Algorithm for Scalable Video Coding using Probability Model
abstract	H.264 / AVC expansion is H.264 / SVC which is applicable in environments that demand video streaming. This paper delivers an algorithm to shorten computational complexity and extend coding efficiency by determining the mode speedily. In this writing, the authors talk a fast mode resolution algorithm with less complexity unlikely the traditional joint scalable video model (JSVM). Their algorithm end mode hunt by a probability model defined. This model is address for both intra-mode and inter-mode predictions of base layer and enhancement layers in a macro block (MB). The estimated rate distortion cost (RDC) for modes among layers is custom to determine the best mode of each MB. The experimental results show that the authors' algorithm realizes 26.9% of encoding time when compared with the JSVM reference software with smallest reduction in peak signal to noise ratio (PSNR)
abstractGer	H.264 / AVC expansion is H.264 / SVC which is applicable in environments that demand video streaming. This paper delivers an algorithm to shorten computational complexity and extend coding efficiency by determining the mode speedily. In this writing, the authors talk a fast mode resolution algorithm with less complexity unlikely the traditional joint scalable video model (JSVM). Their algorithm end mode hunt by a probability model defined. This model is address for both intra-mode and inter-mode predictions of base layer and enhancement layers in a macro block (MB). The estimated rate distortion cost (RDC) for modes among layers is custom to determine the best mode of each MB. The experimental results show that the authors' algorithm realizes 26.9% of encoding time when compared with the JSVM reference software with smallest reduction in peak signal to noise ratio (PSNR)
abstract_unstemmed	H.264 / AVC expansion is H.264 / SVC which is applicable in environments that demand video streaming. This paper delivers an algorithm to shorten computational complexity and extend coding efficiency by determining the mode speedily. In this writing, the authors talk a fast mode resolution algorithm with less complexity unlikely the traditional joint scalable video model (JSVM). Their algorithm end mode hunt by a probability model defined. This model is address for both intra-mode and inter-mode predictions of base layer and enhancement layers in a macro block (MB). The estimated rate distortion cost (RDC) for modes among layers is custom to determine the best mode of each MB. The experimental results show that the authors' algorithm realizes 26.9% of encoding time when compared with the JSVM reference software with smallest reduction in peak signal to noise ratio (PSNR)
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This paper delivers an algorithm to shorten computational complexity and extend coding efficiency by determining the mode speedily. In this writing, the authors talk a fast mode resolution algorithm with less complexity unlikely the traditional joint scalable video model (JSVM). Their algorithm end mode hunt by a probability model defined. This model is address for both intra-mode and inter-mode predictions of base layer and enhancement layers in a macro block (MB). The estimated rate distortion cost (RDC) for modes among layers is custom to determine the best mode of each MB. The experimental results show that the authors' algorithm realizes 26.9% of encoding time when compared with the JSVM reference software with smallest reduction in peak signal to noise ratio (PSNR)</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Computation Complexity</subfield><subfield code="a">Fast Mode Decision</subfield><subfield code="a">H.264</subfield><subfield code="a">Macro Block</subfield><subfield code="a">Probability Model</subfield><subfield code="a">Scalable Video Coding</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Thyagharajan, K.K</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Dhanalakshmi, A.</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">International journal of system dynamics applications</subfield><subfield code="d">Hershey, Pa : IGI Global, 2012</subfield><subfield code="g">4(2015), 2, Seite 42-55</subfield><subfield code="h">Online-Ressource</subfield><subfield code="w">(DE-627)NLEJ244419469</subfield><subfield code="w">(DE-600)2703813-0</subfield><subfield code="x">2160-9799</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:4</subfield><subfield code="g">year:2015</subfield><subfield code="g">number:2</subfield><subfield code="g">pages:42-55</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijsda.2015040103</subfield><subfield code="m">X:IGIG</subfield><subfield code="x">Verlag</subfield><subfield code="z">Deutschlandweit zugänglich</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/ijsda.2015040103&buylink=true</subfield><subfield code="3">Abstract</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-1-GIS</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_NL_ARTICLE</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">4</subfield><subfield code="j">2015</subfield><subfield code="e">2</subfield><subfield code="h">42-55</subfield></datafield></record></collection>
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An Efficient Block Mode Detection Algorithm for Scalable Video Coding using Probability Model

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