Nonlinear traffic modeling of VBR MPEG-2 video sources
A neural network scheme is presented for modeling VBR MPEG-2 video sources. In particular, three nonlinear autoregressive models (NAR) are proposed to model the aggregate MPEG-2 video sequence, each of which corresponds to one of the three types of frames (I, P and B frames). Then, the optimal mean-...
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| creator | Doulamis, A.D. Doulamis, N.D. Kollias, S.D. |
| description | A neural network scheme is presented for modeling VBR MPEG-2 video sources. In particular, three nonlinear autoregressive models (NAR) are proposed to model the aggregate MPEG-2 video sequence, each of which corresponds to one of the three types of frames (I, P and B frames). Then, the optimal mean-squared error predictor of the NAR model is implemented using a feedforward neural network with a tapped delay line (TDL) filter. A novel algorithm is also introduced, which handles the significant effect of the correlation among the I, P and B frames on the estimation of network resources. Furthermore, a new mechanism is proposed to improve the modeling accuracy, especially at high bit rates, based on a generalized regression neural network. Experimental studies and computer simulations illustrate the efficiency and robustness of the proposed model as predictor of the network resources compared to conventional models. |
| doi_str_mv | 10.1109/ICME.2000.871009 |
| format | Conference Proceeding |
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Experimental studies and computer simulations illustrate the efficiency and robustness of the proposed model as predictor of the network resources compared to conventional models.</description><subject>Aggregates</subject><subject>Bit rate</subject><subject>Delay lines</subject><subject>Feedforward neural networks</subject><subject>Filters</subject><subject>Neural networks</subject><subject>Predictive models</subject><subject>Telecommunication traffic</subject><subject>Traffic control</subject><subject>Video sequences</subject><isbn>0780365364</isbn><isbn>9780780365360</isbn><fulltext>true</fulltext><rsrctype>conference_proceeding</rsrctype><creationdate>2000</creationdate><recordtype>conference_proceeding</recordtype><sourceid>6IE</sourceid><sourceid>RIE</sourceid><recordid>eNpjYJAwNNAzNDSw1Pd09nXVMzIwMNCzMDc0MLBkZuAyMLcwMDYzNTYz4WDgLS7OAkoamBqZG5kYcTKY-eXn5WTmpSYWKZQUJaalZSYr5OanpAKF0hXy0xTCnIIUfANc3XWNFMoyU1LzFYrzS4uSU4t5GFjTEnOKU3mhNDeDlJtriLOHbmZqamp8QVFmbmJRZTzEBcZ4JQE7nzMb</recordid><startdate>2000</startdate><enddate>2000</enddate><creator>Doulamis, A.D.</creator><creator>Doulamis, N.D.</creator><creator>Kollias, S.D.</creator><general>IEEE</general><scope>6IE</scope><scope>6IL</scope><scope>CBEJK</scope><scope>RIE</scope><scope>RIL</scope></search><sort><creationdate>2000</creationdate><title>Nonlinear traffic modeling of VBR MPEG-2 video sources</title><author>Doulamis, A.D. ; Doulamis, N.D. ; Kollias, S.D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-ieee_primary_8710093</frbrgroupid><rsrctype>conference_proceedings</rsrctype><prefilter>conference_proceedings</prefilter><language>eng</language><creationdate>2000</creationdate><topic>Aggregates</topic><topic>Bit rate</topic><topic>Delay lines</topic><topic>Feedforward neural networks</topic><topic>Filters</topic><topic>Neural networks</topic><topic>Predictive models</topic><topic>Telecommunication traffic</topic><topic>Traffic control</topic><topic>Video sequences</topic><toplevel>online_resources</toplevel><creatorcontrib>Doulamis, A.D.</creatorcontrib><creatorcontrib>Doulamis, N.D.</creatorcontrib><creatorcontrib>Kollias, S.D.</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>Doulamis, A.D.</au><au>Doulamis, N.D.</au><au>Kollias, S.D.</au><format>book</format><genre>proceeding</genre><ristype>CONF</ristype><atitle>Nonlinear traffic modeling of VBR MPEG-2 video sources</atitle><btitle>2000 IEEE International Conference on Multimedia and Expo. 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| ispartof | 2000 IEEE International Conference on Multimedia and Expo. ICME2000. Proceedings. Latest Advances in the Fast Changing World of Multimedia (Cat. No.00TH8532), 2000, Vol.3, p.1318-1321 vol.3 |
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| language | eng |
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| source | IEEE Electronic Library (IEL) Conference Proceedings |
| subjects | Aggregates Bit rate Delay lines Feedforward neural networks Filters Neural networks Predictive models Telecommunication traffic Traffic control Video sequences |
| title | Nonlinear traffic modeling of VBR MPEG-2 video sources |
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