Joint Bit Allocation and Rate Control for Coding Multi-View Video Plus Depth Based 3D Video
In three-dimensional (3D) video coding, distortion in texture video and depth maps can all affect the quality of the synthesized virtual views. Therefore, under the total bitrate constraint, effective bit allocation between texture and depth information is very important for 3D video coding. In this...
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Veröffentlicht in: | IEEE transactions on multimedia 2013-12, Vol.15 (8), p.1843-1854 |
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creator | Shao, Feng Jiang, Gangyi Lin, Weisi Yu, Mei Dai, Qionghai |
description | In three-dimensional (3D) video coding, distortion in texture video and depth maps can all affect the quality of the synthesized virtual views. Therefore, under the total bitrate constraint, effective bit allocation between texture and depth information is very important for 3D video coding. In this paper, the major technical contribution is to formulate view synthesis quality for optimal resource allocation in 3D video coding, since such quality is what that matters most to the ultimate user (i.e., the viewer) of the system; to be more specific, a new joint bit allocation and rate control method for multi-view video plus depth (MVD) based 3D video coding is proposed accordingly. We firstly derive a view synthesis distortion model to characterize the effect of coding distortion of texture video and depth maps on the synthesized virtual views. Based on this model, we derive a rate-distortion model to characterize the relationship between the bitrate and the view synthesis distortion, and the optimal bitrate ratio between texture and depth is established adaptively by solving the associated optimization problem. Finally, the rate control algorithm is performed on view level, texture/depth level and frame level. Experimental results show that compared with other methods, the proposed bit allocation method obtains higher performance of view synthesis. Moreover, the proposed rate control method can accurately control the bitrate to satisfy the total bitrate constraint. |
doi_str_mv | 10.1109/TMM.2013.2269897 |
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Therefore, under the total bitrate constraint, effective bit allocation between texture and depth information is very important for 3D video coding. In this paper, the major technical contribution is to formulate view synthesis quality for optimal resource allocation in 3D video coding, since such quality is what that matters most to the ultimate user (i.e., the viewer) of the system; to be more specific, a new joint bit allocation and rate control method for multi-view video plus depth (MVD) based 3D video coding is proposed accordingly. We firstly derive a view synthesis distortion model to characterize the effect of coding distortion of texture video and depth maps on the synthesized virtual views. Based on this model, we derive a rate-distortion model to characterize the relationship between the bitrate and the view synthesis distortion, and the optimal bitrate ratio between texture and depth is established adaptively by solving the associated optimization problem. Finally, the rate control algorithm is performed on view level, texture/depth level and frame level. Experimental results show that compared with other methods, the proposed bit allocation method obtains higher performance of view synthesis. Moreover, the proposed rate control method can accurately control the bitrate to satisfy the total bitrate constraint.</description><identifier>ISSN: 1520-9210</identifier><identifier>EISSN: 1941-0077</identifier><identifier>DOI: 10.1109/TMM.2013.2269897</identifier><identifier>CODEN: ITMUF8</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>3D video coding ; Applied sciences ; Artificial intelligence ; Bit allocation ; Coding, codes ; Computer science; control theory; systems ; depth-image-based rendering ; Exact sciences and technology ; Information, signal and communications theory ; Pattern recognition. Digital image processing. Computational geometry ; rate control ; Signal and communications theory ; Systems, networks and services of telecommunications ; Telecommunications ; Telecommunications and information theory ; Teletraffic ; Transmission and modulation (techniques and equipments) ; view synthesis distortion</subject><ispartof>IEEE transactions on multimedia, 2013-12, Vol.15 (8), p.1843-1854</ispartof><rights>2015 INIST-CNRS</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c293t-2ed3c64b14fdae2e2e763a298cccd183c31effc4da6fe142c6b392312b4a6dd73</citedby><cites>FETCH-LOGICAL-c293t-2ed3c64b14fdae2e2e763a298cccd183c31effc4da6fe142c6b392312b4a6dd73</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/6544278$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/6544278$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=28021972$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Shao, Feng</creatorcontrib><creatorcontrib>Jiang, Gangyi</creatorcontrib><creatorcontrib>Lin, Weisi</creatorcontrib><creatorcontrib>Yu, Mei</creatorcontrib><creatorcontrib>Dai, Qionghai</creatorcontrib><title>Joint Bit Allocation and Rate Control for Coding Multi-View Video Plus Depth Based 3D Video</title><title>IEEE transactions on multimedia</title><addtitle>TMM</addtitle><description>In three-dimensional (3D) video coding, distortion in texture video and depth maps can all affect the quality of the synthesized virtual views. Therefore, under the total bitrate constraint, effective bit allocation between texture and depth information is very important for 3D video coding. In this paper, the major technical contribution is to formulate view synthesis quality for optimal resource allocation in 3D video coding, since such quality is what that matters most to the ultimate user (i.e., the viewer) of the system; to be more specific, a new joint bit allocation and rate control method for multi-view video plus depth (MVD) based 3D video coding is proposed accordingly. We firstly derive a view synthesis distortion model to characterize the effect of coding distortion of texture video and depth maps on the synthesized virtual views. Based on this model, we derive a rate-distortion model to characterize the relationship between the bitrate and the view synthesis distortion, and the optimal bitrate ratio between texture and depth is established adaptively by solving the associated optimization problem. Finally, the rate control algorithm is performed on view level, texture/depth level and frame level. Experimental results show that compared with other methods, the proposed bit allocation method obtains higher performance of view synthesis. Moreover, the proposed rate control method can accurately control the bitrate to satisfy the total bitrate constraint.</description><subject>3D video coding</subject><subject>Applied sciences</subject><subject>Artificial intelligence</subject><subject>Bit allocation</subject><subject>Coding, codes</subject><subject>Computer science; control theory; systems</subject><subject>depth-image-based rendering</subject><subject>Exact sciences and technology</subject><subject>Information, signal and communications theory</subject><subject>Pattern recognition. Digital image processing. Computational geometry</subject><subject>rate control</subject><subject>Signal and communications theory</subject><subject>Systems, networks and services of telecommunications</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Teletraffic</subject><subject>Transmission and modulation (techniques and equipments)</subject><subject>view synthesis distortion</subject><issn>1520-9210</issn><issn>1941-0077</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2013</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kEtLAzEUhYMoWKt7wU02LqcmN2kyWfbhkxZFajcuhjQPjYyTMkkR_70jU8pdnAPnnLv4ELqkZEQpUTer5XIEhLIRgFClkkdoQBWnBSFSHnd-DKRQQMkpOkvpixDKx0QO0PtTDE3G05DxpK6j0TnEBuvG4ledHZ7FJrexxj62nbeh-cDLXZ1DsQ7uB6-DdRG_1LuE526bP_FUJ2cxm_fJOTrxuk7uYq9D9HZ3u5o9FIvn-8fZZFEYUCwX4Cwzgm8o91Y76E4KpkGVxhhLS2YYdd4bbrXwjnIwYsMUMAobroW1kg0R6f-aNqbUOl9t2_Ct29-KkuofTtXBqf7hVHs43eS6n2x1Mrr2rW5MSIcdlASoktD1rvpecM4dYjHmHGTJ_gAqcG0E</recordid><startdate>20131201</startdate><enddate>20131201</enddate><creator>Shao, Feng</creator><creator>Jiang, Gangyi</creator><creator>Lin, Weisi</creator><creator>Yu, Mei</creator><creator>Dai, Qionghai</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20131201</creationdate><title>Joint Bit Allocation and Rate Control for Coding Multi-View Video Plus Depth Based 3D Video</title><author>Shao, Feng ; Jiang, Gangyi ; Lin, Weisi ; Yu, Mei ; Dai, Qionghai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c293t-2ed3c64b14fdae2e2e763a298cccd183c31effc4da6fe142c6b392312b4a6dd73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2013</creationdate><topic>3D video coding</topic><topic>Applied sciences</topic><topic>Artificial intelligence</topic><topic>Bit allocation</topic><topic>Coding, codes</topic><topic>Computer science; control theory; systems</topic><topic>depth-image-based rendering</topic><topic>Exact sciences and technology</topic><topic>Information, signal and communications theory</topic><topic>Pattern recognition. Digital image processing. Computational geometry</topic><topic>rate control</topic><topic>Signal and communications theory</topic><topic>Systems, networks and services of telecommunications</topic><topic>Telecommunications</topic><topic>Telecommunications and information theory</topic><topic>Teletraffic</topic><topic>Transmission and modulation (techniques and equipments)</topic><topic>view synthesis distortion</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shao, Feng</creatorcontrib><creatorcontrib>Jiang, Gangyi</creatorcontrib><creatorcontrib>Lin, Weisi</creatorcontrib><creatorcontrib>Yu, Mei</creatorcontrib><creatorcontrib>Dai, Qionghai</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><jtitle>IEEE transactions on multimedia</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Shao, Feng</au><au>Jiang, Gangyi</au><au>Lin, Weisi</au><au>Yu, Mei</au><au>Dai, Qionghai</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Joint Bit Allocation and Rate Control for Coding Multi-View Video Plus Depth Based 3D Video</atitle><jtitle>IEEE transactions on multimedia</jtitle><stitle>TMM</stitle><date>2013-12-01</date><risdate>2013</risdate><volume>15</volume><issue>8</issue><spage>1843</spage><epage>1854</epage><pages>1843-1854</pages><issn>1520-9210</issn><eissn>1941-0077</eissn><coden>ITMUF8</coden><abstract>In three-dimensional (3D) video coding, distortion in texture video and depth maps can all affect the quality of the synthesized virtual views. Therefore, under the total bitrate constraint, effective bit allocation between texture and depth information is very important for 3D video coding. In this paper, the major technical contribution is to formulate view synthesis quality for optimal resource allocation in 3D video coding, since such quality is what that matters most to the ultimate user (i.e., the viewer) of the system; to be more specific, a new joint bit allocation and rate control method for multi-view video plus depth (MVD) based 3D video coding is proposed accordingly. We firstly derive a view synthesis distortion model to characterize the effect of coding distortion of texture video and depth maps on the synthesized virtual views. Based on this model, we derive a rate-distortion model to characterize the relationship between the bitrate and the view synthesis distortion, and the optimal bitrate ratio between texture and depth is established adaptively by solving the associated optimization problem. Finally, the rate control algorithm is performed on view level, texture/depth level and frame level. Experimental results show that compared with other methods, the proposed bit allocation method obtains higher performance of view synthesis. Moreover, the proposed rate control method can accurately control the bitrate to satisfy the total bitrate constraint.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TMM.2013.2269897</doi><tpages>12</tpages></addata></record> |
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subjects | 3D video coding Applied sciences Artificial intelligence Bit allocation Coding, codes Computer science control theory systems depth-image-based rendering Exact sciences and technology Information, signal and communications theory Pattern recognition. Digital image processing. Computational geometry rate control Signal and communications theory Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Teletraffic Transmission and modulation (techniques and equipments) view synthesis distortion |
title | Joint Bit Allocation and Rate Control for Coding Multi-View Video Plus Depth Based 3D Video |
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