The essential guide to video processing
This comprehensive and state-of-the art approach to video processing gives engineers and students a comprehensive introduction and includes full coverage of key applications: wireless video, video networks, video indexing and retrieval and use of video in speech processing. Containing all the essent...
| Otros Autores: | |
|---|---|
| Formato: | Libro electrónico |
| Idioma: | Inglés |
| Publicado: |
Amsterdam ; Boston :
Academic Press/Elsevier
c2009.
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| Edición: | 2nd ed |
| Materias: | |
| Ver en Biblioteca Universitat Ramon Llull: | https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009627561006719 |
Tabla de Contenidos:
- Front Cover; The Essential Guide to Video Processing; Copyright Page; Table of Contents; Preface; About the Author; Chapter 1. Introduction to Digital Video Processing; 1.1 Sampled Video; 1.2 Video Transmission; 1.3 Objectives of this Guide; 1.4 Organization of the Guide; Chapter 2. Video Sampling and Interpolation; 2.1 Introduction; 2.2 Spatiotemporal Sampling Structures; 2.3 Sampling and Reconstruction of Continuous Time-Varying Imagery; 2.4 Sampling Structure Conversion; 2.4.1 Frame-rate Conversion; 2.4.2 Spatiotemporal Sampling Structure Conversion; 2.5 Conclusion; References
- Further InformationChapter 3. Motion Detection and Estimation; 3.1 Introduction; 3.2 Notation and Preliminaries; 3.2.1 Binary Hypothesis Testing; 3.2.2 Markov Random Fields; 3.2.3 MAP Estimation; 3.2.4 Variational Formulations; 3.3 Motion Detection; 3.3.1 Hypothesis Testing with Fixed Threshold; 3.3.2 Hypothesis Testing with Adaptive Threshold; 3.3.3 MAP MRF Formulation; 3.3.4 MAP Variational Formulation; 3.3.5 Experimental Comparison of Motion Detection Methods; 3.4 Motion Estimation; 3.4.1 Motion Models; 3.4.2 Estimation Criteria; 3.4.3 Search Strategies
- 3.5 Practical Motion Estimation Algorithms3.5.1 Global Motion Estimation; 3.5.2 Block Matching; 3.5.3 Phase Correlation; 3.5.4 Optical Flow via Regularization; 3.5.5 MAP Estimation of Dense Motion; 3.5.6 Experimental Comparison of Motion Estimation Methods; 3.6 Perspectives; 3.7 Acknowledgments; References; Chapter 4. Video Enhancement and Restoration; 4.1 Introduction; 4.2 Spatiotemporal Noise Filtering; 4.2.1 Linear Filters; 4.2.2 Order-Statistic Filters; 4.2.3 Multiresolution Filters; 4.3 Coding Artifact Reduction; 4.3.1 Artifact Reduction in the Spatial Domain
- 4.3.2 Artifact Reduction in the Frequency Domain4.4 Blotch Detection and Removal; 4.4.1 Blotch Detection; 4.4.2 Motion Vector Repair and Interpolating Corrupted Intensities; 4.4.3 Video Inpainting; 4.4.4 Restoration in Conditions of Difficult Object Motion; 4.5 Vinegar Syndrome Removal; 4.6 Intensity Flicker Correction; 4.6.1 Flicker Parameter Estimation; 4.6.2 Estimation on Sequences with Motion; 4.7 Kinescope Moiré Removal; 4.8 Scratch Removal; 4.9 Conclusions; Acknowledgements; References; Chapter 5. Video Stabilization and Mosaicing; 5.1 Introduction; 5.1.1 Video Stabilization
- 5.1.2 Outline5.2 Biological Motivation: Insect Navigation; 5.2.1 Centering Behavior and Collision Avoidance; 5.2.2 Control of Flight Speed and Stabilization; 5.2.3 Measuring Distance by Integrating Optical Flow; 5.3 Camera Model and Image Motion Model; 5.3.1 Camera Model; 5.3.2 Effect of Camera Motion; 5.3.3 Image Features; 5.3.4 Structure from Motion; 5.3.5 Feature based Algorithms; 5.4 Flow-Based Approaches; 5.4.1 Global Flow Models; 5.4.2 Flow-Based Algorithm; 5.5 Stabilization and Mosaicing; 5.5.1 Video Mosaicing; 5.6 Stabilization and Mosaicing with Additional Information
- 5.6.1 VIVID Metadata
