VBR video traffic models / / Savera Tanwir, Harry Perros

• Record Nr.: UNINA9910827845003321
• Autore: Tanwir Savera
• Pubbl/distr/stampa: London ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2014; ©2014
• ISBN: 1-118-93108-4; 1-118-93106-8; 1-118-93107-6
• Descrizione fisica: 1 online resource (162 p.)
• Collana: Focus Series
• Disciplina: 006.696
• Soggetti: Digital video; Sound - Recording and reproducing - Digital techniques; System analysis
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: 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 traffic; 3.1.3. 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; Index
• Sommario/riassunto: There 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.