title page
Abstract
Contents
List of Abbreviations 14
I. INTRODUCTION 15
II. RELATED WORK 18
2.1. QoS for Video Adaptation 18
2.2. MPEG-21 DIA Framework 20
2.2.1. Usage Environment Description 20
2.2.2. Terminal and Network QoS 21
2.3. Scalable Video Coding 22
2.3.1. Multi-dimensional Scalability 23
2.3.2. Network Abstraction Layer 27
III. QoS BASED VIDEO ADAPTATION 29
3.1. SVC Video Adaptation 29
3.1.1. Bit-stream Extraction in SVC 30
3.2. QoS Policy Based on User Perception 35
3.2.1. Perceptual Quality Preference(제목없음) 35
3.2.2. Perceptual Quality Preference Path 42
3.3. SVC Video Adaptation Based on MPEG-21 DIA 45
3.3.1. SVC Adaptation Operators 47
3.3.1.1. Spatial Layers 49
3.3.1.2. Temporal Levels 49
3.3.1.3. Quality Reduction 49
3.3.2. The Proposed Scheme for AdaptationQoS 50
3.3.3. Adaptation Decision Taking Engine(ADTE) 53
3.3.4. SVC Bit-stream Extraction Algorithm 56
3.4. Effective Transmission of SVC Video 58
3.4.1. IP Packet Priority Marking for SVC Video 58
3.4.2. Effective SVC Video Transmission with Packet Priority 61
IV. EXPERIMENTS 64
V. CONCLUSION 82
[국문요약] 83
References 85
Acknowledgement 87
Curriculum Vitae 89
Table 3-1. Switching point table for the action class of scene 37
Table 3-2. Switching point table for the crowd class of scene 38
Table 3-3. Switching point table for the dialog class of scene 38
Table 3-4. Switching point table for the scenery class of scene 38
Table 3-5. Switching point table for the T&G class of scene 38
Table 3-6. Semantics of SVC adaptation operators 47
Table 3-7. AQoS Classification Scheme for SVC Adaptation 48
Figure 2-1. Multi-dimensional trade-offs for video adaptation 19
Figure 2-2. Structure of SVC encoder for multi-dimensional scalability in JSVM 2.0[1]. 23
Figure 2-3. Concept of Spatial Scalability 24
Figure 2-4. Concept of Temporal Scalability: (a) MCTF, (b) Hierarchical B Picture[1]. 25
Figure 2-5. Concert of SNR scalability applying FGS 26
Figure 2-6. Concept of NAL in multimedia service protocol stack 27
Figure 3-1. SVC Video adaptation with multi-dimensional scalability 30
Figure 3-2. Structure of SVC bit-stream generated by JSVM 2.0 encoder 32
Figure 3-3. Example of bit-stream extraction based on QoS 34
Figure 3-4. bit-rate of video segments versus spatio-temporal switching points:… 39
Figure 3-5. Perceptual quality preference path: (a) scenery concept, (b) action concept,… 42
Figure 3-6. SVC adaptation system architecture in MPEG-21 framework 45
Figure 3-7. Effective AQoS description based on SVC adaptation trajectory 51
Figure 3-8. Conceptual illustration of the utility function of AQoS Description 53
Figure 3-9. Adaptation Decision Taking Engine for SVC in MPEC-21 DIA 54
Figure 3-10. Utility Estimation at any point of transmission bit-rate 56
Figure 3-11. Bit-stream Extraction Algorithm based on SVC Adaptation Operators 57
Figure 3-12. Priority marking based on perceptual quality preference path 59
Figure 3-13. NALU structure with priority based on QoS 60
Figure 3-14. Conceptual quality control with priority based on QoS 61
Figure 3-15. Concept of prioritized transmission for hand-off in mobile Network 62
Figure 4-1. AQoS description for Football sequence guided by QoS policy for action class 66
Figure 4-2. Result of the SVC video adaptation for Football sequence at the… 68
Figure 4-3. AQoS description for Harbour sequence guided by QoS policy for scenery class 70
Figure 4-4. Result of the SVC video adaptation for Harbour sequence at the… 72
Figure 4-5. AQoS description for Crew sequence guided by QoS policy for dialog class 73
Figure 4-6. Result of the SVC video adaptation for Crew sequence at the simulated… 76
Figure 4-7. Extracted SVC video guided by QoS policy for action class 78
Figure 4-8. Extracted SVC video guided by QoS policy for scenery class 79
Figure 4-9. Extracted SVC video guided by QoS policy for dialog class 80