| Description |
1 online resource : illustrations |
| Series |
Springer theses |
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Springer theses.
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| Contents |
Intro; Supervisor's Foreword; Abstract; Parts of this thesis have been published in the following articles:; Acknowledgements; Contents; Acronyms and Notations; List of Figures; List of Tables; 1 Introduction; References; 2 Scalable Image and Video Compression; 2.1 JPEG2000: Scalability, Accessibility, and Intrinsic Upsampling; 2.1.1 Subband Transform for Resolution Scalability; 2.1.2 Deadzone Scalar Quantization; 2.1.3 Embedded Coding for Distortion Scalability; 2.2 Hybrid Video Compression; 2.2.1 Motion-Compensated Prediction; 2.3 Scalable Video Compression |
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2.3.1 Scalability in Hybrid Coding Schemes2.3.2 Wavelet-Based Highly Scalable Video Compression; 2.3.3 Scalable Coding of Motion and Motion Discontinuities; 2.4 Summary; References; 3 Temporal Frame Interpolation (TFI); 3.1 True Motion Estimation; 3.1.1 Block Matching Algorithms; 3.1.2 Optical Flow; 3.2 State-of-the-Art in TFI; 3.2.1 TFI Schemes with Target-Based Motion Anchoring; 3.2.2 TFI Schemes with Reference-Based Motion Anchoring; 3.2.3 Occlusion Handling; 3.2.4 Observations and Recommendations; 3.3 Summary; References; 4 Motion-Discontinuity-Aided Motion Field Operations |
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4.1 Warping of Motion Discontinuities4.2 Motion Field Inversion; 4.2.1 Cellular Affine Warping of Motion; 4.2.2 Resolving of Double Mappings; 4.2.3 Unidirectional Temporal Frame Interpolation; 4.3 Reverse Inference of Motion Fields; 4.3.1 Discontinuity-Guided Background Motion Extrapolation in Disoccluding Triangles; 4.4 Bidirectional, Occlusion-Aware TFI (BOA-TFI); 4.4.1 Method Overview; 4.4.2 Evaluation on Synthetic Sequences; 4.4.3 Evaluation on Natural Sequences; 4.5 Summary; References; 5 Bidirectional Hierarchical Anchoring (BIHA) of Motion |
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5.1 BIHA of Motion Fields for Highly Scalable Video Compression5.1.1 A Hierarchy of Scaled and Inferred Motion Fields; 5.1.2 Potential for Motion Inference in the Traditional Anchoring Scheme; 5.1.3 Differential Coding of Motion Fields; 5.1.4 Geometrical Consistency with Quantized Motion Fields; 5.1.5 A Few Notes on Complexity; 5.2 Motion-Compensated Temporal Filtering; 5.2.1 Prediction Step; 5.2.2 Update Step; 5.3 Scalable Rate Allocation; 5.3.1 Motion Error; 5.3.2 Rate Allocation with Breakpoint and Texture Errors; 5.4 Hierarchical, Spatio-Temporal Induction of Discontinuity Information |
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5.4.1 Evaluation of HST-BPI5.5 Rate-Distortion Results; 5.5.1 Experimental Setup; 5.5.2 R-D Comparisons with Traditional Anchoring Scheme; 5.5.3 Importance of Motion Discontinuities; 5.5.4 R-D Comparisons with SHVC; 5.6 Potential for Improvements; 5.7 Summary; References; 6 Forward-Only Hierarchical Anchoring (FOHA) of Motion; 6.1 Disocclusion and Folding Likelihood Map (DFLM); 6.2 Forward-Only Anchoring of Motion; 6.2.1 FOA-TFI Overview; 6.2.2 Forward Inference of Motion; 6.2.3 Resolving Double Mappings Using DFLM; 6.2.4 Handling of Forward and Reverse Disocclusions |
| Summary |
This thesis explores the motion anchoring strategies, which represent a fundamental change to the way motion is employed in a video compression system--from a "prediction-centric" point of view to a "physical" representation of the underlying motion of the scene. The proposed "reference-based" motion anchorings can support computationally efficient, high-quality temporal motion inference, which requires half as many coded motion fields as conventional codecs. This raises the prospect of achieving lower motion bitrates than the most advanced conventional techniques, while providing more temporally consistent and meaningful motion. The availability of temporally consistent motion can facilitate the efficient deployment of highly scalable video compression systems based on temporal lifting, where the feedback loop used in traditional codecs is replaced by a feedforward transform. The novel motion anchoring paradigm proposed in this thesis is well adapted to seamlessly supporting "features" beyond compressibility, including high scalability, accessibility, and "intrinsic" frame upsampling. These features are becoming ever more relevant as the way video is consumed continues to shift from the traditional broadcast scenario with predefined network and decoder constraints to interactive browsing of video content via heterogeneous networks |
| Bibliography |
Includes bibliographical references |
| Notes |
"Doctoral Thesis accepted by the UNSW Sydney, Australia." |
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Vendor-supplied metadata |
| Subject |
Digital video.
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Video compression.
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COMPUTERS -- General.
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Digital video
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Video compression
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| Form |
Electronic book
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| ISBN |
9789811082252 |
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9811082251 |
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