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Multi-frame motion-compensated prediction for video transmission

Author: Thomas Wiegand; Bernd Girod
Publisher: Boston : Kluwer Academic Publishers, ©2001.
Series: Kluwer international series in engineering and computer science, SECS 636.
Edition/Format:   Print book : EnglishView all editions and formats
Summary:

Describes a fresh technique in video coding and transmission. This title also covers H.263 standard. It is of interest to researchers and students in the field of video coding and transmission.

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Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Thomas Wiegand; Bernd Girod
ISBN: 0792374975 9780792374978
OCLC Number: 47296243
Description: xxii, 150 pages : illustrations ; 24 cm.
Contents: 1. State-of-the-art Video Transmission 1 --
1.1 Video Transmission System 2 --
1.2 Basic Components of a Video Codec 3 --
1.3 ITU-T Recommendation H.263 7 --
1.4 Effectiveness of Motion Compensation Techniques in Hybrid Video Coding 8 --
1.5 Advanced Motion Compensation Techniques 10 --
1.5.1 Exploitation of Long-Term Statistical Dependencies 11 --
1.5.2 Efficient Modeling of the Motion Vector Field 13 --
1.5.3 Multi-Hypothesis Prediction 15 --
1.6 Video Transmission Over Error Prone Channels 16 --
2. Rate-Constrained Coder Control 21 --
2.1 Optimization Using Lagrangian Techniques 22 --
2.2 Lagrangian Optimization in Video Coding 23 --
2.3 Coder Control for ITU-T Recommendation H.263 25 --
2.4 Choosing the Coder Control Parameters 26 --
2.4.1 Experimental Determination of the Coder Control Parameters 27 --
2.4.2 Interpretation of the Lagrange Parameter 29 --
2.4.3 Efficiency Evaluation for the Parameter Choice 33 --
2.5 Comparison to Other Encoding Strategies 34 --
3. Long-Term Memory Motion-Compensated Prediction 37 --
3.1 Long-Term Memory Motion Compensation 38 --
3.2 Prediction Performance 41 --
3.2.1 Scene Cuts 41 --
3.2.2 Uncovered Background 43 --
3.2.3 Texture with Aliasing 44 --
3.2.4 Similar Realizations of a Noisy Image Sequence 45 --
3.2.5 Relationship to other Prediction Methods 45 --
3.3 Statistical Model for the Prediction Gain 46 --
3.4 Integration into ITU-T Recommendation H.263 52 --
3.4.1 Rate-Constrained Long-Term Memory Prediction 53 --
3.4.2 Rate-Distortion Performance 55 --
4. Affine Multi-Frame Motion-Compensated Prediction 61 --
4.1 Affine Multi-Frame Motion Compensation 62 --
4.1.1 Syntax of the Video Codec 63 --
4.1.2 Affine Motion Model 65 --
4.2 Rate-Constrained Coder Control 66 --
4.2.1 Affine Motion Parameter Estimation 66 --
4.2.2 Reference Picture Warping 71 --
4.2.3 Rate-Constrained Multi-Frame Hybrid Video Encoding 71 --
4.2.4 Determination of the Number of Efficient Reference Frames 72 --
4.3 Experiments 73 --
4.3.1 Affine Motion Compensation 73 --
4.3.2 Combination of Affine and Long-Term Memory Motion Compensation 76 --
4.4 Assessment of the Rate-Distortion Performance of Multi-Frame Prediction 80 --
5. Fast Motion Estimation for Multi-Frame Prediction 83 --
5.1 Lossless Fast Motion Estimation 84 --
5.1.1 Triangle Inequalities for Distortion Approximation 85 --
5.1.2 Search Order 86 --
5.1.3 Search Space 87 --
5.2 Lossy Fast Motion Estimation 88 --
5.2.1 Sub-Sampling of the Search Space 88 --
5.2.2 Sub-Sampling of the Block 89 --
5.3 Experiments 90 --
5.3.1 Results for Lossless Methods 90 --
5.3.2 Results for Lossy Methods 94 --
6. Error Resilient Video Transmission 101 --
6.1 Error Resilient Extensions of the Decoder 102 --
6.2 Error-Resilient Coder Control 103 --
6.2.1 Inter-Frame Error Propagation 104 --
6.2.2 Estimation of the Expected Transmission Error Distortion 105 --
6.2.3 Incorporation into Lagrangian Coder Control 109 --
6.3 Experiments 111 --
6.3.1 Channel Model and Modulation 111 --
6.3.2 Channel Coding and Error Control 112 --
6.3.3 Results without Feedback 114 --
6.3.4 Experimental Results with Feedback 119 --
A Simulation Conditions 129 --
A.1 Distortion Measures 129 --
A.2 Test Sequences 130 --
B Computation of Expected Values 131.
Series Title: Kluwer international series in engineering and computer science, SECS 636.
Responsibility: Thomas Wiegand, Bernd Girod.
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`This body of work by Thomas Wiegand and Bernd Girod has already proved to have an exceptional degree of influence in the video technology community ... As the community has grown to appreciate Read more...

 
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