An Accurate Low-Complexity Rate Control Algorithm Based on (\rho, E)-Domain
The standard H.264/AVC defines an efficient coding architecture both for coding applications where bandwidth or storage capacity is limited (e.g., video telephony or video conferencing over mobile channels and devices) and for applications that require high reconstruction quality and bit rate (e.g.,...
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| Veröffentlicht in: | IEEE transactions on circuits and systems for video technology 2008-02, Vol.18 (2), p.257-262 |
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| container_title | IEEE transactions on circuits and systems for video technology |
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| creator | Milani, S. Celetto, L. Mian, G.A. |
| description | The standard H.264/AVC defines an efficient coding architecture both for coding applications where bandwidth or storage capacity is limited (e.g., video telephony or video conferencing over mobile channels and devices) and for applications that require high reconstruction quality and bit rate (e.g., HDTV). Since its main applications concern video communication over time-varying bandwidth channels, the bit rate has to be controlled with scalable algorithms that can be implemented on low resource devices. The paper describes a rate control algorithm that needs reduced memory area and complexity compared to other ones. The number of coded bits for each frame is accurately predicted through the percentage of null quantized transform coefficients, which is related to the quantization step via the energy of the quantized signal. It is possible to design a rate control algorithm based on this model that provides a good compression performance at a low computational cost. |
| doi_str_mv | 10.1109/TCSVT.2007.913965 |
| format | Article |
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Since its main applications concern video communication over time-varying bandwidth channels, the bit rate has to be controlled with scalable algorithms that can be implemented on low resource devices. The paper describes a rate control algorithm that needs reduced memory area and complexity compared to other ones. The number of coded bits for each frame is accurately predicted through the percentage of null quantized transform coefficients, which is related to the quantization step via the energy of the quantized signal. It is possible to design a rate control algorithm based on this model that provides a good compression performance at a low computational cost.</description><identifier>ISSN: 1051-8215</identifier><identifier>EISSN: 1558-2205</identifier><identifier>DOI: 10.1109/TCSVT.2007.913965</identifier><identifier>CODEN: ITCTEM</identifier><language>eng</language><publisher>New York, NY: IEEE</publisher><subject>Algorithms ; Applied sciences ; Automatic voltage control ; Bandwidth ; Bit allocation ; Bit rate ; Broadcasting. Videocommunications. Audiovisual ; Channels ; Coding ; coefficient statistics ; Communication system control ; Control theory ; Devices ; Electronics ; Equipments and installations ; Exact sciences and technology ; H.264/AVC ; HDTV ; High definition video ; Image processing ; Image reconstruction ; Imaging devices ; Information, signal and communications theory ; Mathematical models ; Mobile communication ; Mobile radiocommunication systems ; Radiocommunications ; rate control ; rate-distortion (R-D) parameterization ; Reconstruction ; Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices ; Signal processing ; Telecommunications ; Telecommunications and information theory ; Telephony ; video coding ; Videocommunications (networks and services) ; Videoconference ; zeros</subject><ispartof>IEEE transactions on circuits and systems for video technology, 2008-02, Vol.18 (2), p.257-262</ispartof><rights>2008 INIST-CNRS</rights><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2008</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c385t-942214295371a059c34195b8a2ac45070399152e4f8b53898f274aa0cb9682213</citedby><cites>FETCH-LOGICAL-c385t-942214295371a059c34195b8a2ac45070399152e4f8b53898f274aa0cb9682213</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/4400033$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/4400033$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=20187832$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Milani, S.</creatorcontrib><creatorcontrib>Celetto, L.</creatorcontrib><creatorcontrib>Mian, G.A.</creatorcontrib><title>An Accurate Low-Complexity Rate Control Algorithm Based on (\rho, E)-Domain</title><title>IEEE transactions on circuits and systems for video technology</title><addtitle>TCSVT</addtitle><description>The standard H.264/AVC defines an efficient coding architecture both for coding applications where bandwidth or storage capacity is limited (e.g., video telephony or video conferencing over mobile channels and devices) and for applications that require high reconstruction quality and bit rate (e.g., HDTV). Since its main applications concern video communication over time-varying bandwidth channels, the bit rate has to be controlled with scalable algorithms that can be implemented on low resource devices. The paper describes a rate control algorithm that needs reduced memory area and complexity compared to other ones. The number of coded bits for each frame is accurately predicted through the percentage of null quantized transform coefficients, which is related to the quantization step via the energy of the quantized signal. It is possible to design a rate control algorithm based on this model that provides a good compression performance at a low computational cost.</description><subject>Algorithms</subject><subject>Applied sciences</subject><subject>Automatic voltage control</subject><subject>Bandwidth</subject><subject>Bit allocation</subject><subject>Bit rate</subject><subject>Broadcasting. Videocommunications. Audiovisual</subject><subject>Channels</subject><subject>Coding</subject><subject>coefficient statistics</subject><subject>Communication system control</subject><subject>Control theory</subject><subject>Devices</subject><subject>Electronics</subject><subject>Equipments and installations</subject><subject>Exact sciences and technology</subject><subject>H.264/AVC</subject><subject>HDTV</subject><subject>High definition video</subject><subject>Image processing</subject><subject>Image reconstruction</subject><subject>Imaging devices</subject><subject>Information, signal and communications theory</subject><subject>Mathematical models</subject><subject>Mobile communication</subject><subject>Mobile radiocommunication systems</subject><subject>Radiocommunications</subject><subject>rate control</subject><subject>rate-distortion (R-D) parameterization</subject><subject>Reconstruction</subject><subject>Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices</subject><subject>Signal processing</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Telephony</subject><subject>video coding</subject><subject>Videocommunications (networks and services)</subject><subject>Videoconference</subject><subject>zeros</subject><issn>1051-8215</issn><issn>1558-2205</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2008</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9kVtLwzAYhosoOKc_QLwpgiew88tpTS5rnQccCDq9EkIWU1dpm5m06P69rRu78MKrfOR73ieENwj2EQwQAnExSZ9eJgMMEA8EImLINoIeYoxHGAPbbGdgKOIYse1gx_sPAEQ5jXvBfVKFidaNU7UJx_YrSm05L8x3Xi_Cx-4utVXtbBEmxbt1eT0rw0vlzVtoq_D01c3seTg6i65sqfJqN9jKVOHN3ursB8_Xo0l6G40fbu7SZBxpwlkdCYoxolgwEiMFTGhCkWBTrrDSlEEMRAjEsKEZnzLCBc9wTJUCPRVD3kZJPzhZeufOfjbG17LMvTZFoSpjGy95zEAQANaSx_-SpH1P0LhTHv4BP2zjqvYXUiCMW6PobGgJaWe9dyaTc5eXyi0kAtm1IH9bkF0LctlCmzlaiZXXqsicqnTu10EMiMec4JY7WHK5MWa9phQACCE_f3OLpQ</recordid><startdate>20080201</startdate><enddate>20080201</enddate><creator>Milani, S.</creator><creator>Celetto, L.</creator><creator>Mian, G.A.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>F28</scope><scope>FR3</scope></search><sort><creationdate>20080201</creationdate><title>An Accurate Low-Complexity Rate Control Algorithm Based on (\rho, E)-Domain</title><author>Milani, S. ; Celetto, L. ; Mian, G.A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c385t-942214295371a059c34195b8a2ac45070399152e4f8b53898f274aa0cb9682213</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Algorithms</topic><topic>Applied sciences</topic><topic>Automatic voltage control</topic><topic>Bandwidth</topic><topic>Bit allocation</topic><topic>Bit rate</topic><topic>Broadcasting. Videocommunications. Audiovisual</topic><topic>Channels</topic><topic>Coding</topic><topic>coefficient statistics</topic><topic>Communication system control</topic><topic>Control theory</topic><topic>Devices</topic><topic>Electronics</topic><topic>Equipments and installations</topic><topic>Exact sciences and technology</topic><topic>H.264/AVC</topic><topic>HDTV</topic><topic>High definition video</topic><topic>Image processing</topic><topic>Image reconstruction</topic><topic>Imaging devices</topic><topic>Information, signal and communications theory</topic><topic>Mathematical models</topic><topic>Mobile communication</topic><topic>Mobile radiocommunication systems</topic><topic>Radiocommunications</topic><topic>rate control</topic><topic>rate-distortion (R-D) parameterization</topic><topic>Reconstruction</topic><topic>Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices</topic><topic>Signal processing</topic><topic>Telecommunications</topic><topic>Telecommunications and information theory</topic><topic>Telephony</topic><topic>video coding</topic><topic>Videocommunications (networks and services)</topic><topic>Videoconference</topic><topic>zeros</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Milani, S.</creatorcontrib><creatorcontrib>Celetto, L.</creatorcontrib><creatorcontrib>Mian, G.A.</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998–Present</collection><collection>IEL</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>Engineering Research Database</collection><jtitle>IEEE transactions on circuits and systems for video technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Milani, S.</au><au>Celetto, L.</au><au>Mian, G.A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An Accurate Low-Complexity Rate Control Algorithm Based on (\rho, E)-Domain</atitle><jtitle>IEEE transactions on circuits and systems for video technology</jtitle><stitle>TCSVT</stitle><date>2008-02-01</date><risdate>2008</risdate><volume>18</volume><issue>2</issue><spage>257</spage><epage>262</epage><pages>257-262</pages><issn>1051-8215</issn><eissn>1558-2205</eissn><coden>ITCTEM</coden><abstract>The standard H.264/AVC defines an efficient coding architecture both for coding applications where bandwidth or storage capacity is limited (e.g., video telephony or video conferencing over mobile channels and devices) and for applications that require high reconstruction quality and bit rate (e.g., HDTV). Since its main applications concern video communication over time-varying bandwidth channels, the bit rate has to be controlled with scalable algorithms that can be implemented on low resource devices. The paper describes a rate control algorithm that needs reduced memory area and complexity compared to other ones. The number of coded bits for each frame is accurately predicted through the percentage of null quantized transform coefficients, which is related to the quantization step via the energy of the quantized signal. It is possible to design a rate control algorithm based on this model that provides a good compression performance at a low computational cost.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TCSVT.2007.913965</doi><tpages>6</tpages></addata></record> |
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| source | IEL |
| subjects | Algorithms Applied sciences Automatic voltage control Bandwidth Bit allocation Bit rate Broadcasting. Videocommunications. Audiovisual Channels Coding coefficient statistics Communication system control Control theory Devices Electronics Equipments and installations Exact sciences and technology H.264/AVC HDTV High definition video Image processing Image reconstruction Imaging devices Information, signal and communications theory Mathematical models Mobile communication Mobile radiocommunication systems Radiocommunications rate control rate-distortion (R-D) parameterization Reconstruction Semiconductor electronics. Microelectronics. Optoelectronics. Solid state devices Signal processing Telecommunications Telecommunications and information theory Telephony video coding Videocommunications (networks and services) Videoconference zeros |
| title | An Accurate Low-Complexity Rate Control Algorithm Based on (\rho, E)-Domain |
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