본문 바로가기 주메뉴 바로가기
22대 대한민국 국회 국회정보길라잡이 국회의원검색
회원가입 로그인
HOME

정보검색

소장정보 검색

국회도서관 홈으로 정보검색 소장정보 검색

결과 내 검색

동의어 포함

고급검색

인명/단체명

저자정보 상세정보
인명/단체명을 입력하세요.

키워드

  • 대표어

  • 외국어

-

목차보기

Title Page

Abstract

Contents

I. Introduction 13

1.1. Motivations 13

1.2. Main contribution 18

1.3. Organization of Dissertation 21

II. Related Works 22

2.1. Backgrounds 22

2.1.1. Design of Integer DCT Transform Kernel 22

2.1.2. Quantization 28

2.1.3. Hierarchical Quadtree Coding Structure 32

2.2. Related Works 51

2.2.1. Review for Analysis of Transform Coefficients Distributions 51

2.2.2. Classical Model 55

2.2.3. Real Time Rate-Distortion Model 56

2.2.4. Distribution-based Rate-Distortion Model 57

2.2.5. No-Reference MSE Estimation 61

2.3. Quadtree Coding Structure of High Efficiency Video Coding 65

III. Statistical Analysis for HEVC Quadtree Coding 72

IV. Proposed Rate and Distortion Models 78

4.1. Estimation of Model Parameters 81

4.2. Proposed Distortion Model 84

4.3. Proposed Rate Model 91

V. Application of Distortion Models to No-Reference PSNR Estimation for Quadtree Coding of HEVC 95

5.1. Backgrounds 95

5.2. Proposed MSE (PSNR) Estimation 96

5.2.1. Laplacian parameter estimation from the quantized coefficients 98

5.2.2. MSE estimation for intra-coded block 99

5.2.3. Parameter estimation for all-zero coefficient blocks 103

5.2.4. No-reference PSNR estimation algorithm 105

VI. Experimental Results 107

6.1. Experimental Results for Rate and Distortion Models 107

6.2. Experimental Results for No-reference PSNR Estimation 131

VII. Conclusions and Future Researches 136

References 140

국문요약 147

List of Tables

Table II-1. Approximation errors of the order-16 ICT kernels and transform coding gains (ρ＝0.85) 25

Table II-2. Comparisons of order-16 ICT kernels in terms of approximation errors 27

Table II-3. Comparisons of order-16 ICT kernels in terms of coding gains 27

Table II-4. Transform types of THE HVBT for MB modes 37

Table II-5. Low complexity RD based variable block transform 41

Table II-6. Performance comparisons between HVBT and ST in terms of BDBR, BDPSNR 42

Table II-7. Comparisons between conventional codec and emerging HEVC 66

Table III-1. Proportions of CU block in various depth levels and for different coding types 76

Table III-2. Average variances of transform coefficients for different depth levels of the CU and coding types of CU blocks 77

Table IV-1. Bit shift numbers in H.264/AVC and HEVC 81

Table V-1. Proposed no-reference PSNR estimation algorithm 105

Table VI-1. Performance of distortion estimations: Mmse is the mean for actual MSEs during encoding.(이미지참조) 108

Table VI-2. Performance of rate estimations: Mbits is the mean for actual number of bits during encoding.(이미지참조) 109

Table VI-3. Performance of distortion estimations when LCU size is 32×32: Mmse is the mean for actual MSEs during encoding.(이미지참조) 130

Table VI-4. Performance of rate estimations when LCU size is 32×32: Mbits is the mean for actual number of bits during encoding.(이미지참조) 130

Table VI-5. Performance of distortion estimations when LCU size is 16×16: Mmse is the mean for actual MSEs during encoding.(이미지참조) 131

Table VI-6. Performance of rate estimations when LCU size is 16×16: Mbits is the mean for actual number of bits during encoding.(이미지참조) 131

Table VI-7. Comparison for no-reference PSNR estimation 134

List of Figures

Figure I-1. Rate and distortion model to be resided in a hybrid video codec 13

Figure I-2. Architecture of No-reference PSNR estimation 14

Figure I-3. Applications of the rate and distortion models 14

Figure I-4. An example of CU and TU partitions in the hierarchical quadtree structure of HEVC 16

Figure II-1. Approximation comparisons of different order-16 ICT kernels for DCT 28

Figure II-2. DZ+UTQ for various rounding offset parameters 29

Figure II-3. Quantization parameter (QP) and quantization step size in HEVC 30

Figure II-4. Transform structure in H.264/AVC 35

Figure II-5. An illustration of the HVBT 35

Figure II-6. Modeling of pixel correlations for 2-D Input signal with AR (1) process 39

Figure II-7. Transform coding gains for the HVBT scheme, and two single-type transforms for (pv¹,pn²) in block 1 and block 2 in Figure II-6.(이미지참조) 40

Figure II-8. RD curves for various test sequences 45

Figure II-9. RD performance comparisons for the proposed kernel and others 47

Figure II-10. Proportion of different transform block types for various spatial resolutions 48

Figure II-11. Comparison of selected transform types between H.264/AVC and the HVBT with a cropped part of the 5-th frame of BasketballDrill (832×480) for QP＝20 and QP＝28. 50

Figure II-12. Coding Unit (CU), Prediction Unit (PU) and Transform Unit (TU) in HEVC 68

Figure II-13. Quadtree partitioning and side information of CU, PU and TU 69

Figure II-14. Quadtree partitioning and side information of CU, PU and TU 70

Figure II-15. Quadtree partitioning and side information of CU, PU and TU 71

Figure III-1. Quadtree partitions of CU and TU: (a) CU partitions for RaceHorses (416×240) - Blue lines: LCU, Green lines: CU blocks; (b) Quadtree partitions of CU and TU block in a LCU, Red lines: TU blocks, Yellow lines: CU blocks 73

Figure III-2. Statistical analysis of pixel data for CU levels and coding types for predicted residual 75

Figure IV-1. PDF comparisons for fCUk(l) and a single PDF(이미지참조) 83

Figure IV-2. Linear relations between actual distortions and ratios of relative block size. 87

Figure IV-3. Plots of variance fluctuations, relative ratios and predicted MSEs for inter- and intra-coded CU blocks by the estimated PDF based MSE and the proposed distortion model in (39) 90

Figure IV-4. Average qλk values for different QPs and CU depth levels. (a) 832×480, (b) 1280×720 and (c) 1920×1080(이미지참조) 94

Figure IV-5. Relation between actual bits and entropy in (4.29) for CUk(이미지참조) 94

Figure V-1. Variance variations for CUk during encoding(이미지참조) 101

Figure V-2. Average variances of transform coefficients for CU depth levels 101

Figure V-3. β versus QPs 102

Figure V-4. Variances versus CU depth levels. (a) an illustration of model parameter estimation for all zero coefficient CU blocks using exponential regression; (b) variance curve of actual coefficient values and its exponential regression. 104

Figure VI-1. BlowingBubbles with complex and various texture characteristics and Vidyo1 with homogeneous and simple texture characteristics.(이미지참조) 111

Figure VI-2. Rate and distortion prediction performances vs. variances and proportions of CUk for BlowingBubbles sequence encoded with QP＝28(이미지참조) 113

Figure VI-3. Rate and distortion prediction performances vs. the variances and proportions of CUk for Vidyo1 sequence encoded with QP＝28(이미지참조) 115

Figure VI-4. Performance comparisons for distortion estimation 117

Figure VI-5. Performance comparisons for distortion estimation (BQMall_ 832×480) 119

Figure VI-6. Performance comparisons for distortion estimation (RaceHorses_832×480) 120

Figure VI-7. Performance comparisons for distortion estimation 122

Figure VI-8. Performance comparisons for rate estimation 124

Figure VI-9. Performance comparisons for rate estimation 125

Figure VI-10. Performance comparisons for rate estimation 127

Figure VI-11. Performance comparisons for rate estimation 128

Figure VI-12. Actual PSNR vs. No-reference PSNR estimation 133

Figure VI-13. Actual PSNR vs. No-reference PSNR estimation 135

추천서가 (다양한 추천 자료를 만나보세요)

권호기사보기

권호기사 목록 테이블로 기사명, 저자명, 페이지, 원문, 기사목차 순으로 되어있습니다.
기사명 저자명 페이지 원문 기사목차

권호

기사명 원문보기 기사목차
닫기