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Title page
Abstract
Contents
1. Introduction 13
2. Related Works 16
2.1. Scalable Video Coding 16
2.1.1. Introduction to Scalable Video Coding 16
2.1.2. Principle of Scalable Video Coding 18
2.1.3. Temporal Scalability in Scalable Video Coding 20
2.1.3.1. Motion Compensated Temporal Filtering 20
2.1.3.2. Hierarchical B-Picture 24
2.1.3.3. MCTF vs. Hierarchical B-picture 25
2.2. Previous Methods of Fast Intermode Decision 27
3. A Proposed Scheme for Early Termination for Intermode Decision Process 32
3.1. Overview of Intermode Decision in Scalable Video Coding 32
3.2. Statistical Hypothesis Testing 38
3.2.1. Introduction 38
3.2.2. Test of Hypothesis on Two Means 39
3.2.3. Test of Hypothesis on Two Variances 42
3.3. Proposed Method 44
3.3.1. Statistical Analysis for Variable Block Size 44
3.3.2. Algorithm Description 47
4. Experiment 54
4.1. Experimental Conditions 54
4.2. Experimental Results 55
4.2.1. Experiments on IBBBP Sequences 55
4.2.2. Experiments with various confidence interval 61
4.2.3. Experiment on various GOP sizes 63
4.2.4. Comparison with threshold technique 65
5. Conclusions and Future Works 68
국문요약 70
References 72
Acknowledgement 74
Biographical Sketch 75
Publications 76
Table 3-1 The distribution of different blocks 45
Table 4-1 PSNR and Bitrate 56
Table 4-2 Encoding time reduction 56
Table 4-3 Acceptance ratio for hypothesis testing in 16x16 macroblock 57
Table 4-4 PSNR and Bitrate for different GOP sizes 64
Table 4-5 PSNR and Bitrate for SAD scheme 66
Figure 2-1 The concept of SVC 17
Figure 2-2 Principle of scalable coding using T layers 19
Figure 2-3 Lifting representation of an analysis-synthesis filter bank 21
Figure 2-4 Motion Compensated Temporal Filtering 22
Figure 2-5 The structure of hierarchical B-picture 24
Figure 2-6 MCTF and Hierarchical B-picture 27
Figure 2-7 MAD and MAFD in Jing s algorithm 30
Figure 3-1 H.264 based SVC encoder 32
Figure 3-2 Variable Block Sizes 33
Figure 3-3 SKIP mode prediction 34
Figure 3-4 Direct mode 35
Figure 3-5 t distribution 41
Figure 3-6 block mode distribution of Carphone 45
Figure 3-7 block mode distribution of Foreman 46
Figure 3-8 Current and reference macroblock under hypothesis test 48
Figure 3-9 Block Diagram of the proposed algorithm 49
Figure 3-10 Confidence Interval 50
Figure 3-11 t distribution of Mother& Daughter 51
Figure 3-12 Z distribution of Mother & Daughter 52
Figure 3-13 t distribution of Foreman 52
Figure 3-14 Z distribution of Foreman 53
Figure 4-1 Figure 4-2 RD performance for Claire QCIF, 30fps 58
Figure 4-2 RD performance for Mother & Daughter QCIF, 30fps 59
Figure 4-3 RD performance for Carphone QCIF, 30fps 59
Figure 4-4 RD performance for Foreman QCIF, 30 fps 60
Figure 4-5 RD performance for Harbor QCIF, 30fps 60
Figure 4-6 RD performance of the proposed method for test video sequences 61
Figure 4-7 RD performance for different confidence intervals 62
Figure 4-8 Encoding time saving for different confidence intervals 63
Figure 4-9 RD performance for different GOP sizes 64
Figure 4-10 RD performance for SAD scheme 66
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