Searching Multimedia Databases by Content [electronic resource] /

Searching Multimedia Databases by Content bridges the gap between the database and signal processing communities by providing the necessary background information for the reader and presenting it along with the intuition and mechanics of the best existing tools in each area. The first half of Searching Multimedia Databases by Content reviews the most successful database access methods, in increasing complexity, reaching up to spatial access methods and text retrieval. In all cases, the emphasis is on practical approaches that have been incorporated in commercial systems, or that seem very promising. The second half of the book uses the above access methods to achieve fast searching in a database of signals. A general methodology is presented, which suggests extracting a few good features from each multimedia object, thus mapping objects into points in a metric space. Finally, the book concludes by presenting some recent successful applications of the methodology on time series and color images. Searching Multimedia Databases by Content is targeted towards researchers and developers of multimedia systems. The book can also serve as a textbook for a graduate course on multimedia searching, covering both access methods as well as the basics of signal processing.

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Bibliographic Details
Main Authors: Faloutsos, Christos. author., SpringerLink (Online service)
Format: Texto biblioteca
Language:eng
Published: Boston, MA : Springer US, 1996
Subjects:Computer science., Data structures (Computer science)., Data mining., Information storage and retrieval., Multimedia information systems., Image processing., Computer Science., Multimedia Information Systems., Data Mining and Knowledge Discovery., Data Structures, Cryptology and Information Theory., Signal, Image and Speech Processing., Information Storage and Retrieval., Image Processing and Computer Vision.,
Online Access:http://dx.doi.org/10.1007/978-1-4613-1445-5
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spelling KOHA-OAI-TEST:1969462018-07-30T23:22:50ZSearching Multimedia Databases by Content [electronic resource] / Faloutsos, Christos. author. SpringerLink (Online service) textBoston, MA : Springer US,1996.engSearching Multimedia Databases by Content bridges the gap between the database and signal processing communities by providing the necessary background information for the reader and presenting it along with the intuition and mechanics of the best existing tools in each area. The first half of Searching Multimedia Databases by Content reviews the most successful database access methods, in increasing complexity, reaching up to spatial access methods and text retrieval. In all cases, the emphasis is on practical approaches that have been incorporated in commercial systems, or that seem very promising. The second half of the book uses the above access methods to achieve fast searching in a database of signals. A general methodology is presented, which suggests extracting a few good features from each multimedia object, thus mapping objects into points in a metric space. Finally, the book concludes by presenting some recent successful applications of the methodology on time series and color images. Searching Multimedia Databases by Content is targeted towards researchers and developers of multimedia systems. The book can also serve as a textbook for a graduate course on multimedia searching, covering both access methods as well as the basics of signal processing.1 Introduction -- I Database Indexing Methods -- 2 Introduction to Relational DBMS -- 3 Primary Key Access Methods -- 4 Secondary Key Access Methods -- 5 Spatial Access Methods (SAMS) -- 6 Access Methods For Text -- II Indexing Signals -- 7 Problem - Intuition -- 8 1-D Time Sequences -- 9 2-D Color Images -- 10 Sub-Pattern Matching -- 11 Fastmap -- 12 Conclusions -- III Mathematical Toolbox -- A Preliminaries -- B Fourier Analysis -- C Wavelets -- D K-L and SVD -- References.Searching Multimedia Databases by Content bridges the gap between the database and signal processing communities by providing the necessary background information for the reader and presenting it along with the intuition and mechanics of the best existing tools in each area. The first half of Searching Multimedia Databases by Content reviews the most successful database access methods, in increasing complexity, reaching up to spatial access methods and text retrieval. In all cases, the emphasis is on practical approaches that have been incorporated in commercial systems, or that seem very promising. The second half of the book uses the above access methods to achieve fast searching in a database of signals. A general methodology is presented, which suggests extracting a few good features from each multimedia object, thus mapping objects into points in a metric space. Finally, the book concludes by presenting some recent successful applications of the methodology on time series and color images. Searching Multimedia Databases by Content is targeted towards researchers and developers of multimedia systems. The book can also serve as a textbook for a graduate course on multimedia searching, covering both access methods as well as the basics of signal processing.Computer science.Data structures (Computer science).Data mining.Information storage and retrieval.Multimedia information systems.Image processing.Computer Science.Multimedia Information Systems.Data Mining and Knowledge Discovery.Data Structures, Cryptology and Information Theory.Signal, Image and Speech Processing.Information Storage and Retrieval.Image Processing and Computer Vision.Springer eBookshttp://dx.doi.org/10.1007/978-1-4613-1445-5URN:ISBN:9781461314455
institution COLPOS
collection Koha
country México
countrycode MX
component Bibliográfico
access En linea
En linea
databasecode cat-colpos
tag biblioteca
region America del Norte
libraryname Departamento de documentación y biblioteca de COLPOS
language eng
topic Computer science.
Data structures (Computer science).
Data mining.
Information storage and retrieval.
Multimedia information systems.
Image processing.
Computer Science.
Multimedia Information Systems.
Data Mining and Knowledge Discovery.
Data Structures, Cryptology and Information Theory.
Signal, Image and Speech Processing.
Information Storage and Retrieval.
Image Processing and Computer Vision.
Computer science.
Data structures (Computer science).
Data mining.
Information storage and retrieval.
Multimedia information systems.
Image processing.
Computer Science.
Multimedia Information Systems.
Data Mining and Knowledge Discovery.
Data Structures, Cryptology and Information Theory.
Signal, Image and Speech Processing.
Information Storage and Retrieval.
Image Processing and Computer Vision.
spellingShingle Computer science.
Data structures (Computer science).
Data mining.
Information storage and retrieval.
Multimedia information systems.
Image processing.
Computer Science.
Multimedia Information Systems.
Data Mining and Knowledge Discovery.
Data Structures, Cryptology and Information Theory.
Signal, Image and Speech Processing.
Information Storage and Retrieval.
Image Processing and Computer Vision.
Computer science.
Data structures (Computer science).
Data mining.
Information storage and retrieval.
Multimedia information systems.
Image processing.
Computer Science.
Multimedia Information Systems.
Data Mining and Knowledge Discovery.
Data Structures, Cryptology and Information Theory.
Signal, Image and Speech Processing.
Information Storage and Retrieval.
Image Processing and Computer Vision.
Faloutsos, Christos. author.
SpringerLink (Online service)
Searching Multimedia Databases by Content [electronic resource] /
description Searching Multimedia Databases by Content bridges the gap between the database and signal processing communities by providing the necessary background information for the reader and presenting it along with the intuition and mechanics of the best existing tools in each area. The first half of Searching Multimedia Databases by Content reviews the most successful database access methods, in increasing complexity, reaching up to spatial access methods and text retrieval. In all cases, the emphasis is on practical approaches that have been incorporated in commercial systems, or that seem very promising. The second half of the book uses the above access methods to achieve fast searching in a database of signals. A general methodology is presented, which suggests extracting a few good features from each multimedia object, thus mapping objects into points in a metric space. Finally, the book concludes by presenting some recent successful applications of the methodology on time series and color images. Searching Multimedia Databases by Content is targeted towards researchers and developers of multimedia systems. The book can also serve as a textbook for a graduate course on multimedia searching, covering both access methods as well as the basics of signal processing.
format Texto
topic_facet Computer science.
Data structures (Computer science).
Data mining.
Information storage and retrieval.
Multimedia information systems.
Image processing.
Computer Science.
Multimedia Information Systems.
Data Mining and Knowledge Discovery.
Data Structures, Cryptology and Information Theory.
Signal, Image and Speech Processing.
Information Storage and Retrieval.
Image Processing and Computer Vision.
author Faloutsos, Christos. author.
SpringerLink (Online service)
author_facet Faloutsos, Christos. author.
SpringerLink (Online service)
author_sort Faloutsos, Christos. author.
title Searching Multimedia Databases by Content [electronic resource] /
title_short Searching Multimedia Databases by Content [electronic resource] /
title_full Searching Multimedia Databases by Content [electronic resource] /
title_fullStr Searching Multimedia Databases by Content [electronic resource] /
title_full_unstemmed Searching Multimedia Databases by Content [electronic resource] /
title_sort searching multimedia databases by content [electronic resource] /
publisher Boston, MA : Springer US,
publishDate 1996
url http://dx.doi.org/10.1007/978-1-4613-1445-5
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