03591nam 2200649 450 991013221220332120230707202059.01-118-93108-41-118-93106-81-118-93107-6(CKB)3710000000099092(EBL)1676665(SSID)ssj0001221454(PQKBManifestationID)11707126(PQKBTitleCode)TC0001221454(PQKBWorkID)11186841(PQKB)10157582(MiAaPQ)EBC1676665(Au-PeEL)EBL1676665(CaPaEBR)ebr10862649(CaONFJC)MIL621897(OCoLC)878263104(EXLCZ)99371000000009909220140507h20142014 uy 0engur|n|---|||||txtccrVBR video traffic models /Savera Tanwir, Harry PerrosLondon ;Hoboken, New Jersey :ISTE :Wiley,2014.©20141 online resource (162 p.)Focus SeriesDescription based upon print version of record.1-84821-636-X Includes bibliographical references and index.Cover; Title Page; Contents; Introduction; Chapter 1. Video Coding; 1.1. Video coding; 1.2. Video coding standards; 1.2.1. The MPEG video coding standard; 1.2.2. H.264/MPEG-4 AVC; 1.2.3. H.264 SVC; 1.2.4. H.264 MVC; 1.3. Rate control; 1.4. Summary; Chapter 2. Video Traffic Modeling; 2.1. The AR models; 2.1.1. Review of the AR process; 2.1.2. Survey of AR video traffic models; 2.2. Models based on Markov processes; 2.2.1. Review of Markov process models; 2.2.2. Survey of Markov process models; 2.2.3. Summary; 2.3. Self-similar models; 2.3.1. A survey of self-similar models for video traffic3.1.3. A Markov-modulated gamma model3.1.4. A wavelet model; 3.2. Experimental setup; 3.3. Frame size distribution and ACF comparisons; 3.4. QoS evaluation; 3.4.1. End-to-end delay; 3.4.2. Jitter; 3.4.3. Packet loss; 3.4.4. The simulation model; 3.4.5. Results; 3.5. Conclusion; Chapter 4. Evaluation of Video Traffic Model For H.264 MVC Video; 4.1. A video traffic model for MVC video; 4.2. Experimental setup; 4.3. Results; 4.3.1. Q-Q plots and ACF comparisons; 4.3.2. QoS evaluation; 4.4. Conclusion; Conclusion; Appendix; Glossary; Bibliography; IndexThere has been a phenomenal growth in video applications over the past few years. An accurate traffic model of Variable Bit Rate (VBR) video is necessary for performance evaluation of a network design and for generating synthetic traffic that can be used for benchmarking a network. A large number of models for VBR video traffic have been proposed in the literature for different types of video in the past 20 years. Here, the authors have classified and surveyed these models and have also evaluated the models for H.264 AVC and MVC encoded video and discussed their findings.Focus series (London, England)Digital videoSoundRecording and reproducingDigital techniquesSystem analysisDigital video.SoundRecording and reproducingDigital techniques.System analysis.006.696Tanwir Savera1000687Perros HarryMiAaPQMiAaPQMiAaPQBOOK9910132212203321VBR video traffic models2296911UNINA