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Managing and Mining Multimedia Databases,9780849300370
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Managing and Mining Multimedia Databases


Edition: 1st
Author(s): Thuraisingham; Bhavani
ISBN10:  0849300371
ISBN13:  9780849300370
Format:  Hardcover
Pub. Date:  6/28/2001
Publisher(s): CRC

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SummaryTable of Contents
A comprehensive overview of multimedia data management and mining technologies. Fills a gap in the literature by exploring database management techniques for text, image, audio, and video databases. Discusses emerging trends, prototypes, and other new developments. DLC: Database management.
Introduction
1(10)
Trends
1(1)
Multimedia Database Management
2(2)
Multimedia Data Mining
4(1)
Multimedia for the Web and the Electronic Enterprise
4(1)
Organization of this Book
5(3)
How Do We Proceed?
8(3)
Part I Managing Multimedia Databases 11(70)
Introduction
11(2)
Architectures for Multimedia Database Systems
13(12)
Overview
13(1)
Loose Coupling versus Tight Coupling
13(2)
Schema Architecture
15(1)
Functional Architecture
16(2)
System Architecture
18(1)
Distributed Architecture
19(1)
Interoperability Architecture
19(3)
Hypermedia Architecture
22(1)
Summary
23(2)
Multimedia Data and Information Models
25(6)
Overview
25(1)
Data Modeling
25(3)
Overview
25(2)
Object versus Object-Relational Data Models
27(1)
Hypersemantic Data Models
28(1)
Information Modeling
28(2)
Summary
30(1)
Metadata for Multimedia Databases
31(14)
Overview
31(1)
Types of Metadata
31(8)
Overview
31(2)
Metadata for Text
33(1)
Metadata for Images
33(1)
Metadata for Audio Data
34(1)
Metadata for Video Data
35(2)
Other Aspects
37(2)
Metadata Management
39(3)
Summary
42(3)
Multimedia Query Processing
45(10)
Overview
45(1)
Data Manipulation for Multimedia Databases
45(6)
Data Manipulation Functions
45(1)
Overview
45(1)
Object Editing
46(1)
Browsing
46(1)
Filtering
47(1)
Transaction Management
47(1)
Update Processing
48(1)
Query Processing
48(3)
Query Language Issues
51(3)
Overview
51(1)
SQL for Multimedia Queries
52(1)
User Interface Issues
53(1)
Summary
54(1)
Multimedia Storage Management
55(6)
Overview
55(1)
Access Methods and Indexing
55(3)
Storage Methods
58(2)
Summary
60(1)
Distributed Multimedia Database Systems
61(20)
Overview
61(1)
Architecture for Distributed Multimedia Database Systems
62(1)
Distributed Multimedia Database Design
63(1)
Distributed Multimedia Query Processing
64(1)
Distributed Multimedia Transaction Management
65(2)
Distributed Multimedia Metadata Management
67(1)
Distributed Multimedia Database Security
68(2)
Distributed Multimedia Database Integrity
70(1)
Interoperability and Migration
70(2)
Multimedia Data Warehousing
72(3)
Role of Multimedia Networks for Distributed Multimedia Data Management
75(1)
Summary
76(5)
Conclusion to Part I
79(2)
Part II Mining Multimedia Databases 81(60)
Introduction
81(2)
Technologies and Techniques for Multimedia Data Mining
83(36)
Overview
83(1)
Technologies for Multimedia Data Mining
83(13)
Overview
83(1)
Multimedia Database Management and Warehousing
84(6)
Statistical Reasoning
90(2)
Machine Learning
92(1)
Visualization
93(2)
Parallel Processing
95(1)
Decision Support
95(1)
Architectural Support for Multimedia Data Mining
96(6)
Overview
96(1)
Integration with Other Technologies
96(3)
Functional Architecture
99(1)
System Architecture
100(2)
Process of Multimedia Data Mining
102(9)
Overview
102(2)
Some Examples
104(1)
Why Data Mining?
105(2)
Steps to Data Mining
107(2)
Challenges
109(1)
User Interface Aspects
110(1)
Data Mining Outcomes, Approaches, and Techniques
111(6)
Overview
111(2)
Outcomes of Data Mining
113(1)
Approaches to Multimedia Data Mining
114(1)
Data Mining Techniques and Algorithms
115(2)
Summary
117(2)
Mining Text, Image, Video, and Audio Data
119(22)
Overview
119(1)
Text Mining
119(5)
Overview
119(1)
Text Retrieval
120(1)
Text Mining
121(2)
Taxonomy for Text Mining
123(1)
Image Mining
124(3)
Overview
124(1)
Image Retrieval
125(1)
Image Mining
126(1)
Taxonomy for Image Mining
127(1)
Video Mining
127(5)
Overview
127(1)
Video Retrieval
128(2)
Video Mining
130(1)
Taxonomy for Video Mining
131(1)
Audio Mining
132(4)
Overview
132(1)
Audio Retrieval
133(1)
Audio Mining
134(1)
Taxonomy for Audio Mining
135(1)
Mining Combinations of Data Types
136(2)
Summary
138(3)
Conclusion to Part II
139(2)
Part III Multimedia for the Electronic Enterprise 141(176)
Introduction
141(2)
Multimedia for the Web and E-Commerce
143(22)
Overview
143(1)
Multimedia Data Processing for the Web and E-Commerce
143(2)
Multimedia Data Management for the Web and E-Commerce
145(2)
Multimedia Data Mining for the Web and E-Commerce
147(5)
Agents for Multimedia Data Management and Mining
152(1)
Distributed Multimedia Data Mining
153(6)
Mining and Metadata
159(4)
Summary
163(2)
Multimedia for Collaboration, Knowledge Management, and Training for the Web
165(22)
Overview
165(1)
Multimedia for Collaboration
165(8)
Overview
165(2)
Some Examples
167(1)
Architectural Support for Workflow Computing
168(2)
Multimedia Database Support for Workflow Applications
170(1)
Multimedia Database System Models and Functions
170(2)
The Role of Metadata
172(1)
Impact of the Web on Collaboration
172(1)
Multimedia for Knowledge Management
173(4)
Knowledge Management Concepts and Technologies
173(2)
The Role of Multimedia Computing
175(1)
Knowledge Management and the Web
176(1)
Multimedia for Training
177(1)
Training and Distance Learning
177(1)
Multimedia for Training
177(1)
Multimedia for Other Web Technologies
178(7)
Overview
178(1)
Real-time and High Performance Computing
179(2)
Visualization
181(2)
Quality of Service Aspects
183(2)
Some Future Directions
185(1)
Summary
185(2)
Security and Privacy Consideration for Managing and Mining Multimedia Databases
187(12)
Overview
187(1)
Security and Privacy for the Web
187(9)
Overview
187(1)
Background on the Inference Problem
188(1)
Mining, Warehousing, and Inference
189(3)
Inductive Logic Programming (ILP) and Inference
192(1)
Privacy Issues
193(2)
Some Security Measures
195(1)
Secure Multimedia Data Management Considerations
196(2)
Access Control and Filtering Issues
196(1)
Data Quality and Integrity Issues
197(1)
Summary
198(1)
Standards, Prototypes, and Products for Multimedia Data Management and Mining
199(18)
Overview
199(1)
Standards
200(7)
Overview
200(1)
Query Language
201(1)
XML
202(2)
Ontologies
204(1)
Storage Standards
205(1)
Data Mining Standards
206(1)
Middleware Standards
206(1)
Other Standards
206(1)
Prototypes and Products for Multimedia Data Management
207(3)
Overview
207(1)
Prototypes
208(1)
Products
209(1)
Prototypes and Products for Multimedia Data Mining
210(4)
Overview
210(3)
Prototypes
213(1)
Products
213(1)
Summary
214(3)
Conclusion to Part III
215(2)
Summary and Directions
217(100)
About This Chapter
217(1)
Summary of This Book
217(3)
Challenges and Directions for Multimedia Database Management
220(1)
Challenges and Directions for Multimedia Data Mining
221(1)
Challenges and Directions for Multimedia for the Web and E-Commerce
221(1)
Where do We Go from Here?
222(11)
References
225(8)
Appendices
Appendix A Data Management Systems: Developments and Trends
233(14)
A.1 Overview
233(1)
A.2 Developments in Database Systems
234(3)
A.3 Status, Vision, and Issues
237(2)
A.4 Data Management Systems Framework
239(2)
A.5 Building Information Systems from the Framework
241(3)
A.6 Relationships Between the Texts
244(1)
A.7 Summary
244(2)
References
246(1)
Appendix B Database Systems Technology
247(24)
B.1 Overview
247(1)
B.2 Relational and Entity-Relationship Data Models
248(1)
B.2.1 Overview
248(1)
B.2.2 Relational Data Model
248(1)
B.2.3 Entity-Relationship (ER) Data Model
249(1)
B.3 Architectural Issues
249(2)
B.4 Database Design
251(1)
B.5 Database Administration
252(1)
B.6 Database Management System Functions
252(1)
B.6.1 Overview
252(1)
B.6.2 Query Processing
253(1)
B.6.3 Transaction Management
254(1)
B.6.4 Storage Management
255(1)
B.6.5 Metadata Management
256(1)
B.6.6 Database Integrity
257(1)
B.6.7 Database Security
257(1)
B.6.8 Fault Tolerance
258(1)
B.7 Distributed Databases
259(2)
B.8 Heterogeneous Database Integration
261(1)
B.9 Federated Databases
262(2)
B.10 Client-Server Databases
264(2)
B.11 Migrating Legacy Databases and Applications
266(1)
B.12 Impact of the Web
267(1)
B.13 Summary
267(1)
References
268(3)
Appendix C Data Mining
271(12)
C.1 Overview
271(1)
C.2 Data Mining Technologies
272(2)
C.3 Concepts and Techniques in Data Mining
274(1)
C.4 Directions and Trends in Data Mining
275(1)
C.5 Data Warehousing and Its Relationship to Data Mining
276(3)
C.6 Impact of the Web
279(1)
C.7 Summary
280(1)
References
281(2)
Appendix D Object Technology
283(16)
D.1 Overview
283(1)
D.2 Object Data Models
283(3)
D.3 Object-Oriented Programming Languages
286(1)
D.4 Object Database Management
287(1)
D.4.1 Overview
287(1)
D.4.2 Object-Oriented Database Systems
287(1)
D.4.3 Extended-Relational Systems
287(2)
D.4.4 Object-Relational Systems
289(1)
D.5 Object-Oriented Design and Analysis
289(2)
D.6 Distributed Object Management
291(1)
D.6.1 Overview
291(1)
D.6.2 Distributed Object Management Approach
291(1)
D.6.3 CORBA
292(2)
D.7 Components and Frameworks
294(1)
D.8 Impact of the Web
295(1)
D.9 Summary
296(1)
References
297(2)
Appendix E Data and Information Security
299(8)
E.1 Overview
299(1)
E.2 Access Control and Other Security Concepts
299(1)
E.3 Secure Systems
300(2)
E.4 Secure Database Systems
302(1)
E.5 Emerging Trends
303(1)
E.6 Impact of the Web
304(1)
E.7 Summary
305(1)
References
306(1)
Appendix F The World Wide Web, E-Business, and E-Commerce
307(10)
F.1 Overview
307(1)
F.2 Evolution of the Web
307(3)
F.3 Introduction to E-Commerce
310(1)
F.3.1 Overview
310(1)
F.3.2 E-Business and E-Commerce
311(2)
F.3.3 Models for E-Commerce
313(2)
F.3.4 Information Technologies for E-Commerce
315(1)
F.4 Summary
315(1)
References
316(1)
Index 317

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