Comparing spatial masking modelling in just noticeable distortion controlled H.264/AVC video coding
This paper studies the integration of a just noticeable distortion model in a H.264/AVC standard codec to improve the final rate-distortion performance. Three masking aspects related to lossy transform coding and natural video contents are considered: frequency band decomposition, luminance componen...
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description | This paper studies the integration of a just noticeable distortion model in a H.264/AVC standard codec to improve the final rate-distortion performance. Three masking aspects related to lossy transform coding and natural video contents are considered: frequency band decomposition, luminance component variations and pattern masking. For the latter aspect, three alternative models are considered, namely the Foley-Boynton, Foley-Boynton adaptive and Wei-Ngan models. Their performance, measured for high definition video content, and reported in terms of bitrate improvement and objective quality loss, reveals that the Foley-Boynton and its adaptive version provide the best performance with up to 35.6 % bitrate reduction at the cost of at most 1.4 % objective quality loss. |
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Three masking aspects related to lossy transform coding and natural video contents are considered: frequency band decomposition, luminance component variations and pattern masking. For the latter aspect, three alternative models are considered, namely the Foley-Boynton, Foley-Boynton adaptive and Wei-Ngan models. Their performance, measured for high definition video content, and reported in terms of bitrate improvement and objective quality loss, reveals that the Foley-Boynton and its adaptive version provide the best performance with up to 35.6 % bitrate reduction at the cost of at most 1.4 % objective quality loss.</description><identifier>ISSN: 2158-5873</identifier><identifier>ISBN: 9781424478484</identifier><identifier>ISBN: 1424478480</identifier><identifier>EISBN: 8890532807</identifier><identifier>EISBN: 9788890532801</identifier><language>eng</language><publisher>IEEE</publisher><subject>Adaptation model ; Automatic voltage control ; Bit rate ; Computational modeling ; Discrete cosine transforms ; Mathematical model ; Quantization</subject><ispartof>11th International Workshop on Image Analysis for Multimedia Interactive Services WIAMIS 10, 2010, p.1-4</ispartof><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/5617676$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>309,310,780,784,789,790,2058,54920</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/5617676$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Naccari, M</creatorcontrib><creatorcontrib>Pereira, F</creatorcontrib><title>Comparing spatial masking modelling in just noticeable distortion controlled H.264/AVC video coding</title><title>11th International Workshop on Image Analysis for Multimedia Interactive Services WIAMIS 10</title><addtitle>WIAMIS</addtitle><description>This paper studies the integration of a just noticeable distortion model in a H.264/AVC standard codec to improve the final rate-distortion performance. Three masking aspects related to lossy transform coding and natural video contents are considered: frequency band decomposition, luminance component variations and pattern masking. For the latter aspect, three alternative models are considered, namely the Foley-Boynton, Foley-Boynton adaptive and Wei-Ngan models. Their performance, measured for high definition video content, and reported in terms of bitrate improvement and objective quality loss, reveals that the Foley-Boynton and its adaptive version provide the best performance with up to 35.6 % bitrate reduction at the cost of at most 1.4 % objective quality loss.</description><subject>Adaptation model</subject><subject>Automatic voltage control</subject><subject>Bit rate</subject><subject>Computational modeling</subject><subject>Discrete cosine transforms</subject><subject>Mathematical model</subject><subject>Quantization</subject><issn>2158-5873</issn><isbn>9781424478484</isbn><isbn>1424478480</isbn><isbn>8890532807</isbn><isbn>9788890532801</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2010</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNotT81KxDAYjKjguvYJvOQFqvny03w9LkVdYcHL4nVJm1Syps3SRMG3N4ueZoZhhpkLcovYMiU4Mn1JqlYjSC6lRonyiqw4KKwVanFDqpSOjDEBJSD4igxdnE5m8fMHTSeTvQl0MunzrKdoXQhn5md6_EqZzjH7wZk-OGp9ynHJPs50iHNeYgjO0u0Db-Tj5r2j3966WCxb8nfkejQhueof12T__LTvtvXu7eW12-xq37JcQ5mFDAwAKKZGYFqAZn0DrXSII7dQuu3QA3KJvBVMlhdOikEB9D3vxZrc_9V659zhtPjJLD8H1YBudCN-AaYpUS8</recordid><startdate>201004</startdate><enddate>201004</enddate><creator>Naccari, M</creator><creator>Pereira, F</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>201004</creationdate><title>Comparing spatial masking modelling in just noticeable distortion controlled H.264/AVC video coding</title><author>Naccari, M ; Pereira, F</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i90t-1000801a111505f1073170b6194e88f2d1264dcb1824829304031e43c511bb2b3</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2010</creationdate><topic>Adaptation model</topic><topic>Automatic voltage control</topic><topic>Bit rate</topic><topic>Computational modeling</topic><topic>Discrete cosine transforms</topic><topic>Mathematical model</topic><topic>Quantization</topic><toplevel>online_resources</toplevel><creatorcontrib>Naccari, M</creatorcontrib><creatorcontrib>Pereira, F</creatorcontrib><collection>IEEE Electronic Library (IEL) Conference Proceedings</collection><collection>IEEE Proceedings Order Plan All Online (POP All Online) 1998-present by volume</collection><collection>IEEE Xplore All Conference Proceedings</collection><collection>IEEE Electronic Library (IEL)</collection><collection>IEEE Proceedings Order Plans (POP All) 1998-Present</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Naccari, M</au><au>Pereira, F</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Comparing spatial masking modelling in just noticeable distortion controlled H.264/AVC video coding</atitle><btitle>11th International Workshop on Image Analysis for Multimedia Interactive Services WIAMIS 10</btitle><stitle>WIAMIS</stitle><date>2010-04</date><risdate>2010</risdate><spage>1</spage><epage>4</epage><pages>1-4</pages><issn>2158-5873</issn><isbn>9781424478484</isbn><isbn>1424478480</isbn><eisbn>8890532807</eisbn><eisbn>9788890532801</eisbn><abstract>This paper studies the integration of a just noticeable distortion model in a H.264/AVC standard codec to improve the final rate-distortion performance. Three masking aspects related to lossy transform coding and natural video contents are considered: frequency band decomposition, luminance component variations and pattern masking. For the latter aspect, three alternative models are considered, namely the Foley-Boynton, Foley-Boynton adaptive and Wei-Ngan models. Their performance, measured for high definition video content, and reported in terms of bitrate improvement and objective quality loss, reveals that the Foley-Boynton and its adaptive version provide the best performance with up to 35.6 % bitrate reduction at the cost of at most 1.4 % objective quality loss.</abstract><pub>IEEE</pub><tpages>4</tpages></addata></record> |
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source | IEEE Electronic Library (IEL) Conference Proceedings |
subjects | Adaptation model Automatic voltage control Bit rate Computational modeling Discrete cosine transforms Mathematical model Quantization |
title | Comparing spatial masking modelling in just noticeable distortion controlled H.264/AVC video coding |
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