MARC details
000 -LEADER |
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05467nam a22005295i 4500 |
001 - CONTROL NUMBER |
control field |
978-1-84628-799-2 |
003 - CONTROL NUMBER IDENTIFIER |
control field |
DE-He213 |
005 - DATE AND TIME OF LATEST TRANSACTION |
control field |
20170628033906.0 |
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION |
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cr nn 008mamaa |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
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100301s2007 xxk| s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
International Standard Book Number |
9781846287992 |
-- |
978-1-84628-799-2 |
024 7# - OTHER STANDARD IDENTIFIER |
Standard number or code |
10.1007/978-1-84628-799-2 |
Source of number or code |
doi |
050 #4 - LIBRARY OF CONGRESS CALL NUMBER |
Classification number |
QA76.575 |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
UG |
Source |
bicssc |
072 #7 - SUBJECT CATEGORY CODE |
Subject category code |
COM034000 |
Source |
bisacsh |
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
Classification number |
006.7 |
Edition number |
23 |
100 1# - MAIN ENTRY--PERSONAL NAME |
Personal name |
Petrushin, Valery A. |
Relator term |
editor. |
245 10 - TITLE STATEMENT |
Title |
Multimedia Data Mining and Knowledge Discovery |
Medium |
[electronic resource] / |
Statement of responsibility, etc |
edited by Valery A. Petrushin, Latifur Khan. |
264 #1 - |
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London : |
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Springer London, |
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2007. |
300 ## - PHYSICAL DESCRIPTION |
Extent |
XXV, 521 p. |
Other physical details |
online resource. |
336 ## - |
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text |
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txt |
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rdacontent |
337 ## - |
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computer |
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c |
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rdamedia |
338 ## - |
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online resource |
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cr |
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rdacarrier |
347 ## - |
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text file |
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PDF |
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rda |
505 0# - FORMATTED CONTENTS NOTE |
Formatted contents note |
into Multimedia Data Mining and Knowledge Discovery -- Multimedia Data Mining: An Overview -- Multimedia Data Exploration and Visualization -- A New Hierarchical Approach for Image Clustering -- Multiresolution Clustering of Time Series and Application to Images -- Mining Rare and Frequent Events in Multi-camera Surveillance Video -- Density-Based Data Analysis and Similarity Search -- Feature Selection for Classification of Variable Length Multiattribute Motions -- Multimedia Data Indexing and Retrieval -- FAST: Fast and Semantics-Tailored Image Retrieval -- New Image Retrieval Principle: Image Mining and Visual Ontology -- Visual Alphabets: Video Classification by End Users -- Multimedia Data Modeling and Evaluation -- Cognitively Motivated Novelty Detection in Video Data Streams -- Video Event Mining via Multimodal Content Analysis and Classification -- Exploiting Spatial Transformations for Identifying Mappings in Hierarchical Media Data -- A Novel Framework for Semantic Image Classification and Benchmark Via Salient Objects -- Extracting Semantics Through Dynamic Context -- Mining Image Content by Aligning Entropies with an Exemplar -- More Efficient Mining Over Heterogeneous Data Using Neural Expert Networks -- A Data Mining Approach to Expressive Music Performance Modeling -- Applications and Case Studies -- Supporting Virtual Workspace Design Through Media Mining and Reverse Engineering -- A Time-Constrained Sequential Pattern Mining for Extracting Semantic Events in Videos -- Multiple-Sensor People Localization in an Office Environment -- Multimedia Data Mining Framework for Banner Images -- Analyzing User’s Behavior on a Video Database -- On SVD-Free Latent Semantic Indexing for Iris Recognition of Large Databases -- Mining Knowledge in Computer Tomography Image Databases. |
520 ## - SUMMARY, ETC. |
Summary, etc |
Multimedia information is ubiquitous and essential in many applications, and repositories of multimedia are numerous and extremely large. Consequently, researchers and professionals need new techniques and tools for extracting the hidden, useful knowledge embedded within multimedia collections, thereby helping them discover relationships between the various elements and using this knowledge in decision-making applications. Multimedia Data Mining and Knowledge Discovery, assembling the work of leading academic and professional/industrial researchers worldwide, provides an overview of the current state-of-the-art in the field of multimedia data mining and knowledge discovery, and discusses the variety of hot topics in multimedia data mining research. Consisting of an introductory section and four topical parts, the book describes the objectives and current tendencies in multimedia data mining research and their applications. Each part contains an overview of its chapters and leads the reader with a structured approach through the diverse subjects in the field. Topics and Features: • Features a comprehensive introduction to multimedia data mining and its relevance today • Presents a global perspective of the field and its various components • Provides broad, yet thorough and detailed coverage of the subject • Numerous chapters reference websites with supplementary materials and demonstrations • Explores multimedia data exploration, multimedia data modeling and evaluation, and visualization • Offers an entire part devoted to applications and case studies Written with graduate students in mind, this much needed comprehensive survey of the current state of multimedia data mining and knowledge discovery will also serve as a valuable resource for researchers with interests in multimedia data mining, summarization, indexing, and retrieval. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Computer science. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Data structures (Computer science). |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Information storage and retrieval systems. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Information systems. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Multimedia systems. |
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Computer vision. |
650 14 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Computer Science. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Multimedia Information Systems. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Information Storage and Retrieval. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Information Systems Applications (incl.Internet). |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Data Storage Representation. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Data Structures. |
650 24 - SUBJECT ADDED ENTRY--TOPICAL TERM |
Topical term or geographic name as entry element |
Image Processing and Computer Vision. |
700 1# - ADDED ENTRY--PERSONAL NAME |
Personal name |
Khan, Latifur. |
Relator term |
editor. |
710 2# - ADDED ENTRY--CORPORATE NAME |
Corporate name or jurisdiction name as entry element |
SpringerLink (Online service) |
773 0# - HOST ITEM ENTRY |
Title |
Springer eBooks |
776 08 - ADDITIONAL PHYSICAL FORM ENTRY |
Display text |
Printed edition: |
International Standard Book Number |
9781846284366 |
856 40 - ELECTRONIC LOCATION AND ACCESS |
Uniform Resource Identifier |
<a href="http://dx.doi.org/10.1007/978-1-84628-799-2">http://dx.doi.org/10.1007/978-1-84628-799-2</a> |
912 ## - |
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ZDB-2-SCS |