Modeling of transmission-loss-induced distortion in decoded video
This paper analyzes the distortion in decoded video caused by random packet losses in the underlying transmission network. A recursion model is derived that relates the average channel-induced distortion in successive P-frames. The model is applicable to all video encoders using the block-based moti...
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| Veröffentlicht in: | IEEE transactions on circuits and systems for video technology 2006-06, Vol.16 (6), p.716-732 |
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| container_title | IEEE transactions on circuits and systems for video technology |
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| creator | Yao Wang Zhenyu Wu Boyce, J.M. |
| description | This paper analyzes the distortion in decoded video caused by random packet losses in the underlying transmission network. A recursion model is derived that relates the average channel-induced distortion in successive P-frames. The model is applicable to all video encoders using the block-based motion-compensated prediction framework (including the H.261/263/264 and MPEG1/2/4 video coding standards) and allows for any motion-compensated temporal concealment method at the decoder. The model explicitly considers the interpolation operation invoked for motion-compensated temporal prediction and concealment with sub-pel motion vectors. The model also takes into account the two new features of the H.264/AVC standard, namely intraprediction and inloop deblocking filtering. A comparison with simulation data shows that the model is very accurate over a large range of packet loss rates and encoder intrablock rates. The model is further adapted to characterize the channel distortion in subsequent received frames after a single lost frame. This allows one to easily evaluate the impact of a single frame loss. |
| doi_str_mv | 10.1109/TCSVT.2006.875203 |
| format | Article |
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A recursion model is derived that relates the average channel-induced distortion in successive P-frames. The model is applicable to all video encoders using the block-based motion-compensated prediction framework (including the H.261/263/264 and MPEG1/2/4 video coding standards) and allows for any motion-compensated temporal concealment method at the decoder. The model explicitly considers the interpolation operation invoked for motion-compensated temporal prediction and concealment with sub-pel motion vectors. The model also takes into account the two new features of the H.264/AVC standard, namely intraprediction and inloop deblocking filtering. A comparison with simulation data shows that the model is very accurate over a large range of packet loss rates and encoder intrablock rates. The model is further adapted to characterize the channel distortion in subsequent received frames after a single lost frame. 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(IEEE) 2006</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c385t-5f4561614e53fb4677781a2bb634f9487805a1ef5dbd2baee7683a0938c97d63</citedby><cites>FETCH-LOGICAL-c385t-5f4561614e53fb4677781a2bb634f9487805a1ef5dbd2baee7683a0938c97d63</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/1637512$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27901,27902,54733</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/1637512$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=17864447$$DView record in Pascal Francis$$Hfree_for_read</backlink></links><search><creatorcontrib>Yao Wang</creatorcontrib><creatorcontrib>Zhenyu Wu</creatorcontrib><creatorcontrib>Boyce, J.M.</creatorcontrib><title>Modeling of transmission-loss-induced distortion in decoded video</title><title>IEEE transactions on circuits and systems for video technology</title><addtitle>TCSVT</addtitle><description>This paper analyzes the distortion in decoded video caused by random packet losses in the underlying transmission network. A recursion model is derived that relates the average channel-induced distortion in successive P-frames. The model is applicable to all video encoders using the block-based motion-compensated prediction framework (including the H.261/263/264 and MPEG1/2/4 video coding standards) and allows for any motion-compensated temporal concealment method at the decoder. The model explicitly considers the interpolation operation invoked for motion-compensated temporal prediction and concealment with sub-pel motion vectors. The model also takes into account the two new features of the H.264/AVC standard, namely intraprediction and inloop deblocking filtering. A comparison with simulation data shows that the model is very accurate over a large range of packet loss rates and encoder intrablock rates. The model is further adapted to characterize the channel distortion in subsequent received frames after a single lost frame. This allows one to easily evaluate the impact of a single frame loss.</description><subject>Applied sciences</subject><subject>Automatic voltage control</subject><subject>Coders</subject><subject>Coding standards</subject><subject>Deblocking filter</subject><subject>Decoding</subject><subject>Detection, estimation, filtering, equalization, prediction</subject><subject>Distortion</subject><subject>Encoders</subject><subject>end-to-end distortion</subject><subject>error concealment</subject><subject>error propagation</subject><subject>Exact sciences and technology</subject><subject>Filtering</subject><subject>Filters</subject><subject>Frames</subject><subject>H.264/AVC</subject><subject>Information, signal and communications theory</subject><subject>Intelligent networks</subject><subject>Interpolation</subject><subject>intraprediction</subject><subject>Mathematical models</subject><subject>Motion compensation</subject><subject>packet loss</subject><subject>Predictive models</subject><subject>Propagation losses</subject><subject>Signal and communications theory</subject><subject>Signal, noise</subject><subject>Systems, networks and services of telecommunications</subject><subject>Telecommunications</subject><subject>Telecommunications and information theory</subject><subject>Temporal logic</subject><subject>Transmission and modulation (techniques and equipments)</subject><subject>Video coding</subject><issn>1051-8215</issn><issn>1558-2205</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2006</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNp9kF1LwzAUhosoOKc_QLwpgnrVmZPvXI7hF0y8sHgb0iaVjK6ZTSf4782sMPDCq4TkeV_OebLsHNAMAKnbcvH6Vs4wQnwmBcOIHGQTYEwWGCN2mO6IQSExsOPsJMYVQkAlFZNs_hysa333nocmH3rTxbWP0YeuaEOMhe_stnY2tz4OoR_Se-673Lo6pWz-6a0Lp9lRY9rozn7PaVbe35WLx2L58vC0mC-Lmkg2FKyhjAMH6hhpKsqFEBIMripOaKOoFBIxA65htrK4Ms4JLolBishaCcvJNLsZazd9-Ni6OOg0aO3a1nQubKOWioMAQUgir_8lsURUIYQTePkHXIVt36UltAIMVBGmEgQjVPdJSO8aven92vRfGpDeqdc_6vVOvR7Vp8zVb7GJtWmbpLX2cR8UklNKReIuRs475_bfnAgGmHwDZnuLdg</recordid><startdate>20060601</startdate><enddate>20060601</enddate><creator>Yao Wang</creator><creator>Zhenyu Wu</creator><creator>Boyce, J.M.</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>20060601</creationdate><title>Modeling of transmission-loss-induced distortion in decoded video</title><author>Yao Wang ; Zhenyu Wu ; Boyce, J.M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c385t-5f4561614e53fb4677781a2bb634f9487805a1ef5dbd2baee7683a0938c97d63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2006</creationdate><topic>Applied sciences</topic><topic>Automatic voltage control</topic><topic>Coders</topic><topic>Coding standards</topic><topic>Deblocking filter</topic><topic>Decoding</topic><topic>Detection, estimation, filtering, equalization, prediction</topic><topic>Distortion</topic><topic>Encoders</topic><topic>end-to-end distortion</topic><topic>error concealment</topic><topic>error propagation</topic><topic>Exact sciences and technology</topic><topic>Filtering</topic><topic>Filters</topic><topic>Frames</topic><topic>H.264/AVC</topic><topic>Information, signal and communications theory</topic><topic>Intelligent networks</topic><topic>Interpolation</topic><topic>intraprediction</topic><topic>Mathematical models</topic><topic>Motion compensation</topic><topic>packet loss</topic><topic>Predictive models</topic><topic>Propagation losses</topic><topic>Signal and communications theory</topic><topic>Signal, noise</topic><topic>Systems, networks and services of telecommunications</topic><topic>Telecommunications</topic><topic>Telecommunications and information theory</topic><topic>Temporal logic</topic><topic>Transmission and modulation (techniques and equipments)</topic><topic>Video coding</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yao Wang</creatorcontrib><creatorcontrib>Zhenyu Wu</creatorcontrib><creatorcontrib>Boyce, J.M.</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><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>Yao Wang</au><au>Zhenyu Wu</au><au>Boyce, J.M.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Modeling of transmission-loss-induced distortion in decoded video</atitle><jtitle>IEEE transactions on circuits and systems for video technology</jtitle><stitle>TCSVT</stitle><date>2006-06-01</date><risdate>2006</risdate><volume>16</volume><issue>6</issue><spage>716</spage><epage>732</epage><pages>716-732</pages><issn>1051-8215</issn><eissn>1558-2205</eissn><coden>ITCTEM</coden><abstract>This paper analyzes the distortion in decoded video caused by random packet losses in the underlying transmission network. A recursion model is derived that relates the average channel-induced distortion in successive P-frames. The model is applicable to all video encoders using the block-based motion-compensated prediction framework (including the H.261/263/264 and MPEG1/2/4 video coding standards) and allows for any motion-compensated temporal concealment method at the decoder. The model explicitly considers the interpolation operation invoked for motion-compensated temporal prediction and concealment with sub-pel motion vectors. The model also takes into account the two new features of the H.264/AVC standard, namely intraprediction and inloop deblocking filtering. A comparison with simulation data shows that the model is very accurate over a large range of packet loss rates and encoder intrablock rates. The model is further adapted to characterize the channel distortion in subsequent received frames after a single lost frame. This allows one to easily evaluate the impact of a single frame loss.</abstract><cop>New York, NY</cop><pub>IEEE</pub><doi>10.1109/TCSVT.2006.875203</doi><tpages>17</tpages></addata></record> |
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| subjects | Applied sciences Automatic voltage control Coders Coding standards Deblocking filter Decoding Detection, estimation, filtering, equalization, prediction Distortion Encoders end-to-end distortion error concealment error propagation Exact sciences and technology Filtering Filters Frames H.264/AVC Information, signal and communications theory Intelligent networks Interpolation intraprediction Mathematical models Motion compensation packet loss Predictive models Propagation losses Signal and communications theory Signal, noise Systems, networks and services of telecommunications Telecommunications Telecommunications and information theory Temporal logic Transmission and modulation (techniques and equipments) Video coding |
| title | Modeling of transmission-loss-induced distortion in decoded video |
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