A study of the transmission of VBR encoded video over ATM networks.

by Ngai Li.Thesis (M.Phil.)--Chinese University of Hong Kong, 1997.Includes bibliographical references (leaves 66-69).Chapter 1 --- Introduction --- p.1Chapter 1.1 --- Video Compression and Transport --- p.2Chapter 1.2 --- Research Contributions --- p.6Chapter 1.2.1 --- Joint Rate Control of VBR Encoded Video --- p.6Chapter 1.2.2 --- Transporting VBR Video on LB Controlled Channel --- p.7Chapter 1.3 --- Organization of Thesis --- p.7Chapter 2 --- Preliminary --- p.9Chapter 2.1 --- Statistical Characteristics of MPEG-1 Encoded Video --- p.9Chapter 2.2 --- Temporal and Spatial Smoothing --- p.14Chapter 2.2.1 --- Temporal Smoothing --- p.14Chapter 2.2.2 --- Spatial Smoothing --- p.15Chapter 2.3 --- A Single Source Control-Theoretic Framework for VBR-to-CBR Video Adaptation --- p.16Chapter 3 --- Joint Rate Control of VBR Encoded Video --- p.19Chapter 3.1 --- Analytical Models --- p.21Chapter 3.2 --- Analysis --- p.27Chapter 3.2.1 --- Stable Region --- p.29Chapter 3.2.2 --- Final Value of the State Variables --- p.33Chapter 3.2.3 --- Peak Values of Buffer-occupancy Deviation and Image- quality Fluctuation --- p.35Chapter 3.2.4 --- SAE of Buffer-occupancy Deviation and Image-quality Fluc- tuation --- p.42Chapter 3.3 --- Experimental Results --- p.43Chapter 3.4 --- Concluding Remarks --- p.48Chapter 4 --- Transporting VBR Video on LB Controlled Channel --- p.50Chapter 4.1 --- Leaky Bucket Access Control --- p.51Chapter 4.2 --- Greedy Token-usage Strategy --- p.53Chapter 4.3 --- Non-greedy Token-usage Strategy --- p.57Chapter 4.4 --- Concluding Remarks --- p.60Chapter 5 --- Conclusions --- p.62Chapter 5.1 --- Joint Rate Control of Multiple VBR Videos --- p.62Chapter 5.2 --- LB Video Compression --- p.63Chapter 5.3 --- Further Study --- p.64Chapter 5.4 --- Publications --- p.65Bibliography --- p.6

Adaptation of variable-bit-rate compressed video for transport over a constant-bit-rate communication channel in broadband networks.

by Chi-yin Tse.Thesis (M.Phil.)--Chinese University of Hong Kong, 1995.Includes bibliographical references (leaves 118-[121]).Chapter 1 --- Introduction --- p.1Chapter 1.1 --- Video Compression and Transport --- p.2Chapter 1.2 --- VBR-CBR Adaptation of Video Traffic --- p.5Chapter 1.3 --- Research Contributions --- p.7Chapter 1.3.1 --- Spatial Smoothing: Video Aggregation --- p.8Chapter 1.3.2 --- Temporal Smoothing: A Control-Theoretic Study。 --- p.8Chapter 1.4 --- Organization of Thesis --- p.9Chapter 2 --- Preliminaries --- p.13Chapter 2.1 --- MPEG Compression Scheme --- p.13Chapter 2.2 --- Problems of Transmitting MPEG Video --- p.17Chapter 2.3 --- Two-layer Coding and Transport Strategy --- p.19Chapter 2.3.1 --- Framework of MPEG-based Layering --- p.19Chapter 2.3.2 --- Transmission of GS and ES --- p.20Chapter 2.3.3 --- Problems of Two-layer Video Transmission --- p.20Chapter 3 --- Video Aggregation --- p.24Chapter 3.1 --- Motivation and Basic Concept of Video Aggregation --- p.25Chapter 3.1.1 --- Description of Video Aggregation --- p.28Chapter 3.2 --- MPEG Video Aggregation System --- p.29Chapter 3.2.1 --- Shortcomings of the MPEG Video Bundle Scenario with Two-Layer Coding and Cell-Level Multiplexing --- p.29Chapter 3.2.2 --- MPEG Video Aggregation --- p.31Chapter 3.2.3 --- MPEG Video Aggregation System Architecture --- p.33Chapter 3.3 --- Variations of MPEG Video Aggregation System --- p.35Chapter 3.4 --- Experimental Results --- p.38Chapter 3.4.1 --- Comparison of Video Aggregation and Cell-level Multi- plexing --- p.40Chapter 3.4.2 --- Varying Amount of the Allocated Bandwidth --- p.48Chapter 3.4.3 --- Varying Number of Sequences --- p.50Chapter 3.5 --- Conclusion --- p.53Chapter 3.6 --- Appendix: Alternative Implementation of MPEG Video Aggre- gation --- p.53Chapter 3.6.1 --- Profile Approach --- p.54Chapter 3.6.2 --- Bit-Plane Approach --- p.54Chapter 4 --- A Control-Theoretic Study of Video Traffic Adaptation --- p.58Chapter 4.1 --- Review of Previous Adaptation Schemes --- p.60Chapter 4.1.1 --- A Generic Model for Adaptation Scheme --- p.60Chapter 4.1.2 --- Objectives of Adaptation Controller --- p.61Chapter 4.2 --- Motivation for Control-Theoretic Study --- p.64Chapter 4.3 --- Linear Feedback Controller Model --- p.64Chapter 4.3.1 --- Encoder Model --- p.65Chapter 4.3.2 --- Adaptation Controller Model --- p.69Chapter 4.4 --- Analysis --- p.72Chapter 4.4.1 --- Stability --- p.73Chapter 4.4.2 --- Robustness against Coding-mode Switching --- p.83Chapter 4.4.3 --- Unit-Step Responses and Unit-Sample Responses --- p.84Chapter 4.5 --- Implementation --- p.91Chapter 4.6 --- Experimental Results --- p.95Chapter 4.6.1 --- Overall Performance of the Adaptation Scheme --- p.97Chapter 4.6.2 --- Weak-Control verus Strong-Control --- p.99Chapter 4.6.3 --- Varying Amount of Reserved Bandwidth --- p.101Chapter 4.7 --- Conclusion --- p.103Chapter 4.8 --- Appendix I: Further Research --- p.103Chapter 4.9 --- Appendix II: Review of Previous Adaptation Schemes --- p.106Chapter 4.9.1 --- Watanabe. et. al.'s Scheme --- p.106Chapter 4.9.2 --- MPEG's Scheme --- p.107Chapter 4.9.3 --- Lee et.al.'s Modification --- p.109Chapter 4.9.4 --- Chen's Adaptation Scheme --- p.110Chapter 5 --- Conclusion --- p.116Bibliography --- p.11

Dynamic bandwidth allocation in ATM networks

Includes bibliographical references.This thesis investigates bandwidth allocation methodologies to transport new emerging bursty traffic types in ATM networks. However, existing ATM traffic management solutions are not readily able to handle the inevitable problem of congestion as result of the bursty traffic from the new emerging services. This research basically addresses bandwidth allocation issues for bursty traffic by proposing and exploring the concept of dynamic bandwidth allocation and comparing it to the traditional static bandwidth allocation schemes

Lossless video multiplexing for transport over communication networks.

by Chan Hang Fung.Thesis (M.Phil.)--Chinese University of Hong Kong, 1997.Includes bibliographical references (leaves 62-68).Chapter 1 --- Introduction --- p.1Chapter 1.1 --- Overview of video transmission --- p.1Chapter 1.2 --- Previous work on lossless video transmission --- p.4Chapter 1.3 --- Central theme of thesis ´ؤ Lossless video Aggregation --- p.5Chapter 1.4 --- Organization of thesis --- p.9Chapter 2 --- Framework of LVAS --- p.11Chapter 2.1 --- Review: Transporting single VBR stream using a CBR channel --- p.11Chapter 2.2 --- Lossless aggregation of VBR streams --- p.14Chapter 3 --- Minimization of Buffer Size --- p.17Chapter 3.1 --- A theoretical approach ´ؤ Dynamic programming --- p.19Chapter 3.2 --- A practical heuristic ´ؤ Backward Equalization --- p.21Chapter 3.3 --- Simulation results of the heuristic method --- p.24Chapter 4 --- Bit-rate allocation with fixed buffer --- p.28Chapter 4.1 --- Problem formulation --- p.28Chapter 4.2 --- Different bit-rate scheduling methods --- p.33Chapter 4.3 --- Speed up using point sampling technique --- p.39Chapter 4.4 --- Simulation results --- p.44Chapter 5 --- Call Admission and Interactive Control for Video Aggregation --- p.50Chapter 5.1 --- Call admission issues --- p.50Chapter 5.2 --- Interactive Control --- p.53Chapter 5.3 --- CBR and ABR hybrid --- p.54Chapter 5.4 --- Simulation results --- p.55Chapter 6 --- Conclusions and Future research --- p.57Chapter 6.1 --- Future Research Suggestions --- p.58Chapter 6.2 --- Publications --- p.60Bibliography --- p.6

MDRS: a low complexity scheduler with deterministic performance guarantee for VBR video delivery.

by Lai Hin Lun.Thesis (M.Phil.)--Chinese University of Hong Kong, 2001.Includes bibliographical references (leaves 54-57).Abstracts in English and Chinese.Abstract --- p.iAcknowledgement --- p.ivTable of Contents --- p.vList of Figures --- p.viiChapter Chapter 1 --- Introduction --- p.1Chapter Chapter 2 --- Related Works --- p.8Chapter 2.1 --- Source Modeling --- p.9Chapter 2.2 --- CBR Scheduler for VBR Delivery --- p.11Chapter 2.3 --- Brute Force Scheduler: --- p.15Chapter 2.4 --- Temporal Smoothing Scheduler: --- p.16Chapter Chapter 3 --- Decreasing Rate Scheduling --- p.22Chapter 3.1 --- MDRS with Minimum Buffer Requirement --- p.25Chapter 3.2 --- 2-Rate MDRS --- p.31Chapter Chapter 4 --- Performance Evaluation --- p.33Chapter 4.1 --- Buffer Requirement --- p.35Chapter 4.2 --- Startup Delay --- p.38Chapter 4.3 --- Disk Utilization --- p.39Chapter 4.4 --- Complexity --- p.43Chapter Chapter 5 --- Conclusion --- p.49Appendix --- p.51Bibliography --- p.5

Video compression with complete information for pre-recorded sources

Thesis (Ph.D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.Includes bibliographical references (p. 123-130).by David Michael Baylon.Ph.D

Quality-oriented adaptation scheme for multimedia streaming in local broadband multi-service IP networks

The research reported in this thesis proposes, designs and tests the Quality-Oriented Adaptation Scheme (QOAS), an application-level adaptive scheme that offers high quality multimedia services to home residences and business premises via local broadband IP-networks in the presence of other traffic of different types. QOAS uses a novel client-located grading scheme that maps some network-related parameters’ values, variations and variation patterns (e.g. delay, jitter, loss rate) to application-level scores that describe the quality of delivery. This grading scheme also involves an objective metric that estimates the end-user perceived quality, increasing its effectiveness. A server-located arbiter takes content and rate adaptation decisions based on these quality scores, which is the only information sent via feedback by the clients. QOAS has been modelled, implemented and tested through simulations and an instantiation of it has been realized in a prototype system. The performance was assessed in terms of estimated end-user perceived quality, network utilisation, loss rate and number of customers served by a fixed infrastructure. The influence of variations in the parameters used by QOAS and of the networkrelated characteristics was studied. The scheme’s adaptive reaction was tested with background traffic of different type, size and variation patterns and in the presence of concurrent multimedia streaming processes subject to user-interactions. The results show that the performance of QOAS was very close to that of an ideal adaptive scheme. In comparison with other adaptive schemes QOAS allows for a significant increase in the number of simultaneous users while maintaining a good end-user perceived quality. These results are verified by a set of subjective tests that have been performed on viewers using a prototype system