D-PuP: An enhanced prediction algorithm for real-time MPEG-4 VBR video traffic with dynamic adaptation
In previous work [1], we proposed a real-time MPEG-4 VBR video traffic prediction algorithm that calculates the probability density function (PDF) based on the last N frames, rWin, by using Cubic-spline interpolation method, and then utilize it for the prediction of next frame. We fixed the size of...
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| creator | Kang Yong Lee Moonseong Kim Kee-Seong Cho |
| description | In previous work [1], we proposed a real-time MPEG-4 VBR video traffic prediction algorithm that calculates the probability density function (PDF) based on the last N frames, rWin, by using Cubic-spline interpolation method, and then utilize it for the prediction of next frame. We fixed the size of rWin as five in the algorithm. Although the algorithm is capable of providing more accurate prediction than those in the research literature, it still has weakness on the adapting the traffic dynamics due to the fixed size of rWin. In this paper, we first study the experimental investigation about the number of rWin, and propose an enhanced traffic prediction algorithm with dynamic rWin. |
| doi_str_mv | 10.1109/ICME.2008.4607457 |
| format | Conference Proceeding |
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We fixed the size of rWin as five in the algorithm. Although the algorithm is capable of providing more accurate prediction than those in the research literature, it still has weakness on the adapting the traffic dynamics due to the fixed size of rWin. 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We fixed the size of rWin as five in the algorithm. Although the algorithm is capable of providing more accurate prediction than those in the research literature, it still has weakness on the adapting the traffic dynamics due to the fixed size of rWin. In this paper, we first study the experimental investigation about the number of rWin, and propose an enhanced traffic prediction algorithm with dynamic rWin.</description><subject>Artificial neural networks</subject><subject>Heuristic algorithms</subject><subject>MPEG video</subject><subject>Prediction algorithms</subject><subject>Probability density function</subject><subject>Silicon</subject><subject>Streaming media</subject><subject>Traffic Prediction</subject><subject>Transform coding</subject><subject>VBR</subject><issn>1945-7871</issn><issn>1945-788X</issn><isbn>1424425700</isbn><isbn>9781424425709</isbn><isbn>1424425719</isbn><isbn>9781424425716</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2008</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpFkN1OwkAQhdcfEgF5AOPNvkBxpjvtdr1TRCSBSIwa78h2dytraEuWquHtLZHouZmcnMmXmcPYBcIQEdTVdDQfD2OAbEgpSErkEeshxURxIlEdsy4qSiKZZW8n_wHA6V8gscN6e4ACIojP2GC7_YBWkkiB6LLiLlp8Lq75TcVdtdKVcZZvgrPeNL6uuF6_18E3q5IXdeDB6XXU-NLx-WI8iYi_3j7xL29dzZugi8Ib_t0uc7urdNkabfWm0XvQOesUer11g8Pss5f78fPoIZo9Tqajm1nkUSZNpGRMWrbXOmlEmrZPp7khRClEagCtxSy3qsDc5khaqIRisDK1mXCZUQCizy5_ud45t9wEX-qwWx7KEz_-3Fry</recordid><startdate>200806</startdate><enddate>200806</enddate><creator>Kang Yong Lee</creator><creator>Moonseong Kim</creator><creator>Kee-Seong Cho</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>200806</creationdate><title>D-PuP: An enhanced prediction algorithm for real-time MPEG-4 VBR video traffic with dynamic adaptation</title><author>Kang Yong Lee ; Moonseong Kim ; Kee-Seong Cho</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i175t-9724a7089e7c3664606bc4117336c01dd18bd9f1bdb14a395420d76d83e8c9003</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2008</creationdate><topic>Artificial neural networks</topic><topic>Heuristic algorithms</topic><topic>MPEG video</topic><topic>Prediction algorithms</topic><topic>Probability density function</topic><topic>Silicon</topic><topic>Streaming media</topic><topic>Traffic Prediction</topic><topic>Transform coding</topic><topic>VBR</topic><toplevel>online_resources</toplevel><creatorcontrib>Kang Yong Lee</creatorcontrib><creatorcontrib>Moonseong Kim</creatorcontrib><creatorcontrib>Kee-Seong Cho</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>Kang Yong Lee</au><au>Moonseong Kim</au><au>Kee-Seong Cho</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>D-PuP: An enhanced prediction algorithm for real-time MPEG-4 VBR video traffic with dynamic adaptation</atitle><btitle>2008 IEEE International Conference on Multimedia and Expo</btitle><stitle>ICME</stitle><date>2008-06</date><risdate>2008</risdate><spage>405</spage><epage>408</epage><pages>405-408</pages><issn>1945-7871</issn><eissn>1945-788X</eissn><isbn>1424425700</isbn><isbn>9781424425709</isbn><eisbn>1424425719</eisbn><eisbn>9781424425716</eisbn><abstract>In previous work [1], we proposed a real-time MPEG-4 VBR video traffic prediction algorithm that calculates the probability density function (PDF) based on the last N frames, rWin, by using Cubic-spline interpolation method, and then utilize it for the prediction of next frame. We fixed the size of rWin as five in the algorithm. Although the algorithm is capable of providing more accurate prediction than those in the research literature, it still has weakness on the adapting the traffic dynamics due to the fixed size of rWin. In this paper, we first study the experimental investigation about the number of rWin, and propose an enhanced traffic prediction algorithm with dynamic rWin.</abstract><pub>IEEE</pub><doi>10.1109/ICME.2008.4607457</doi><tpages>4</tpages></addata></record> |
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| identifier | ISSN: 1945-7871 |
| ispartof | 2008 IEEE International Conference on Multimedia and Expo, 2008, p.405-408 |
| issn | 1945-7871 1945-788X |
| language | eng |
| recordid | cdi_ieee_primary_4607457 |
| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Artificial neural networks Heuristic algorithms MPEG video Prediction algorithms Probability density function Silicon Streaming media Traffic Prediction Transform coding VBR |
| title | D-PuP: An enhanced prediction algorithm for real-time MPEG-4 VBR video traffic with dynamic adaptation |
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