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...

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Bibliographic Details
Main Author: Wichert, Andreas, (Author)
Format: eBook
Language: English
Published: Singapore : World Scientific Publishing Company, [2015]
Subjects:
Multimedia systems.
Digital media.
elektronické knihy
electronic books
ISBN: 9789814696654
981469665X
9781680158403
1680158406
9789814696647
Physical Description: 1 online resource (xvi, 305 pages)

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Table of contents

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008 150608s2015 si ob 001 0 eng d
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020 |a 9789814696654  |q (electronic bk.) 
020 |a 981469665X  |q (electronic bk.) 
020 |a 9781680158403  |q (electronic bk.) 
020 |a 1680158406  |q (electronic bk.) 
020 |z 9789814696647 
035 |a (OCoLC)910845431 
100 1 |a Wichert, Andreas,  |e author. 
245 1 0 |a Intelligent big multimedia databases /  |c Andreas Wichert. 
264 1 |a Singapore :  |b World Scientific Publishing Company,  |c [2015] 
264 4 |c ©2015 
300 |a 1 online resource (xvi, 305 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
504 |a Includes bibliographical references and index. 
506 |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty 
520 |a "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 relational database model is based on a relational algebra that is an offshoot of first-order logic and of the algebra of sets. The simple relational model is not powerful enough to address multimedia data. Because of this, multimedia databases are categorized into many major areas. Each of these areas are now so extensive that a major understanding of the mathematical core concepts requires the study of different fields such as information retrieval, digital image processing, feature extraction, fractals, machine learning, neuronal networks and high-dimensional indexing. This book unifies the essential concepts and recent algorithms into a single comprehensive volume."--  |c Provided by publisher. 
505 0 |a ""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"" 
505 8 |a ""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"" 
505 8 |a ""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"" 
505 8 |a ""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"" 
505 8 |a ""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"" 
590 |a Knovel  |b Knovel (All titles) 
650 0 |a Multimedia systems. 
650 0 |a Digital media. 
655 7 |a elektronické knihy  |7 fd186907  |2 czenas 
655 9 |a electronic books  |2 eczenas 
856 4 0 |u https://proxy.k.utb.cz/login?url=https://app.knovel.com/hotlink/toc/id:kpIBMD0006/intelligent-big-multimedia?kpromoter=marc  |y Full text 

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