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Intelligent big multimedia databases /
"Multimedia databases address a growing number of commercially important applications such as media on demand, surveillance systems and medical systems. The book presents essential and relevant techniques and algorithms to develop and implement large multimedia database systems. The traditional...
| Call Number: | Libro Electrónico |
|---|---|
| Main Author: | |
| Format: | Electronic eBook |
| Language: | Inglés |
| Published: |
Singapore :
World Scientific Publishing Company,
[2015]
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| Subjects: | |
| Online Access: | Texto completo |
Table of Contents:
- ""Contents""; ""Preface""; ""1. Introduction""; ""1.1 Intelligent Multimedia Database""; ""1.2 Motivation and Goals""; ""1.3 Guide to the Reader""; ""1.4 Content""; ""2. Multimedia Databases""; ""2.1 Relational Databases""; ""2.1.1 Structured Query Language SQL""; ""2.1.2 Symbolical artificial intelligence and relational databases""; ""2.1.2.1 Semantic nets and frames""; ""2.1.2.2 Expert systems""; ""2.2 Media Data""; ""2.2.1 Text""; ""2.2.2 Graphics and digital images""; ""2.2.2.1 Vector graphics""; ""2.2.2.2 Raster graphics""; ""2.2.3 Digital audio and video""; ""2.2.3.1 Audio""
- ""2.2.3.2 Video""""2.2.4 SQL and multimedia""; ""2.2.5 Multimedia extender""; ""2.3 Content-Based Multimedia Retrieval""; ""2.3.1 Semantic gap and metadata""; ""2.3.1.1 Semantic gap""; ""2.3.1.2 Image understanding""; ""2.3.1.3 Metadata""; ""2.3.1.4 Multimedia standards""; ""3. Transform Functions""; ""3.1 Fourier Transform""; ""3.1.1 Continuous Fourier transform""; ""3.1.2 Discrete Fourier transform""; ""3.1.2.1 Example""; ""3.1.3 Fast Fourier transform""; ""3.1.4 Discrete cosine transform""; ""3.1.4.1 Example""; ""3.1.5 Two dimensional transform""; ""3.1.5.1 Examples""
- ""3.2 Wavelet Transform""""3.2.1 Short-term Fourier transform""; ""3.2.2 Continuous wavelet transform""; ""3.2.3 Discrete wavelet transform""; ""3.2.4 Fast wavelet transform""; ""3.2.5 Discrete wavelet transform and images""; ""3.3 The Karhunen-Loeve Transform""; ""3.3.1 The covariance matrix""; ""3.3.2 The Karhunen-Loeve transform""; ""3.3.3 Principal component analysis""; ""3.3.3.1 Examples""; ""3.4 Clustering""; ""3.4.1 k-means""; ""3.4.1.1 Color reduction""; ""4. Compression""; ""4.1 Lossless Compression""; ""4.1.1 Transform encoding""; ""4.1.2 Lempel-Ziv""; ""4.1.3 Statistical encoding""
- ""4.2 Lossy Compression""""4.2.1 Digital images""; ""4.2.2 Digital audio signal""; ""4.2.2.1 Adaptive differential""; ""4.2.2.2 Perceptual encoders""; ""4.2.3 Digital video""; ""4.2.3.1 Motion estimation for P-frame""; ""4.2.3.2 Video Compression Standard""; ""5. Feature Extraction""; ""5.1 Basic Image Features""; ""5.1.1 Color histogram""; ""5.1.1.1 Scaled RGB images""; ""5.1.2 Texture""; ""5.1.3 Edge detection""; ""5.1.4 Measurement of angle""; ""5.1.5 Information and contour""; ""5.1.5.1 Histogram of corners""; ""5.2 Image Pyramid""; ""5.2.1 Scale space""; ""5.3 SIFT""; ""5.4 GIST""
- ""5.5 Recognition by Components""""5.6 Speech""; ""5.6.1 Formant frequencies""; ""5.6.2 Phonemes""; ""5.7 Feature Vector""; ""5.7.1 Contours""; ""5.7.2 Norm""; ""5.7.3 Distance function""; ""5.7.4 Data scaling""; ""5.7.5 Similarity""; ""5.8 Time Series""; ""5.8.1 Dynamic time warping""; ""5.8.2 Dynamic programming""; ""6. Low Dimensional Indexing""; ""6.1 Hierarchical Structures""; ""6.1.1 Example of a taxonomy""; ""6.1.2 Origins of hierarchical structures""; ""6.2 Tree""; ""6.2.1 Search tree""; ""6.2.2 Decoupled search tree""; ""6.2.3 B-tree""; ""6.2.4 kd-tree""