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Image and Video Databases: Restoration, Watermarking and Retrieval
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Main description:This book provides an in-depth treatment of the three important topics related to image and video databases: restoration, watermarking and retrieval. It is the result of the participation of the Delft University of Technology in the European Union ACTS program, a pre-competitive RD program on Advanced Communications Technologies and Services (1994-1998). In particular the book has benefited from participation in the AURORA and SMASH projects respectively automated film and video restoration and storage for multimedia systems (watermarking retrieval).Table of contents:Preface. ...
Main description:
This book provides an in-depth treatment of the three important topics related to image and video databases: restoration, watermarking and retrieval. It is the result of the participation of the Delft University of Technology in the European Union ACTS program, a pre-competitive RD program on Advanced Communications Technologies and Services (1994-1998). In particular the book has benefited from participation in the AURORA and SMASH projects respectively automated film and video restoration and storage for multimedia systems (watermarking retrieval).
Table of contents:
Preface. outline. Part I: Restoration. Introduction to restoration. Modeling and coding. Intensity flicker correction. Blotch detection and correction. Noise reduction by coding. Evaluation of restored image sequences. Appendix A: Hierachical motion estimation. Appendix B: Derivation of conditionals. Appendix C: Optimal quantizers for encoding noisy image sequences. Bibliography - Part I. Part II: Watermarking. Introduction to watermarking. State-of-the-art in image and video watermarking. Low complexity watermarks for mpeg compressed video. differential energy watermarks (dew). Finding optimal parameters for the dew algorithm. Benchmarking the dew watermarking algorithm. Bibliography - Part II. Part III: Retrieval. Information retrieval: an introduction. Statistical framework for shot-boundary detection. Automatically abstracting video using key frames. High-level video content analysis. Compression trends: the fourth criterion. Bibliography - Part III. Index.
This book provides an in-depth treatment of the three important topics related to image and video databases: restoration, watermarking and retrieval. It is the result of the participation of the Delft University of Technology in the European Union ACTS program, a pre-competitive RD program on Advanced Communications Technologies and Services (1994-1998). In particular the book has benefited from participation in the AURORA and SMASH projects respectively automated film and video restoration and storage for multimedia systems (watermarking retrieval).
Table of contents:
Preface. outline. Part I: Restoration. Introduction to restoration. Modeling and coding. Intensity flicker correction. Blotch detection and correction. Noise reduction by coding. Evaluation of restored image sequences. Appendix A: Hierachical motion estimation. Appendix B: Derivation of conditionals. Appendix C: Optimal quantizers for encoding noisy image sequences. Bibliography - Part I. Part II: Watermarking. Introduction to watermarking. State-of-the-art in image and video watermarking. Low complexity watermarks for mpeg compressed video. differential energy watermarks (dew). Finding optimal parameters for the dew algorithm. Benchmarking the dew watermarking algorithm. Bibliography - Part II. Part III: Retrieval. Information retrieval: an introduction. Statistical framework for shot-boundary detection. Automatically abstracting video using key frames. High-level video content analysis. Compression trends: the fourth criterion. Bibliography - Part III. Index.