With the rapid growth in the use of computers to manipulate, process, and reason about multimedia data, the problem of how to store and retrieve such data is becoming increasingly important. Thus, although the field of multimedia database systems is only about 5 years old, it is rapidly becoming a focus for much excitement and research effort. Multimedia database systems are intended to provide unified frameworks for requesting and integrating information in a wide variety of formats, such as audio and video data, document data, and image data. Such data often have special storage requirements…mehr
With the rapid growth in the use of computers to manipulate, process, and reason about multimedia data, the problem of how to store and retrieve such data is becoming increasingly important. Thus, although the field of multimedia database systems is only about 5 years old, it is rapidly becoming a focus for much excitement and research effort. Multimedia database systems are intended to provide unified frameworks for requesting and integrating information in a wide variety of formats, such as audio and video data, document data, and image data. Such data often have special storage requirements that are closely coupled to the various kinds of devices that are used for recording and presenting the data, and for each form of data there are often multiple representations and multiple standards - all of which make the database integration task quite complex. Some of the problems include: - what a multimedia database query means - what kinds of languages to use for posing queries - howto develop compilers for such languages - how to develop indexing structures for storing media on ancillary devices - data compression techniques - how to present and author presentations based on user queries. Although approaches are being developed for a number of these problems, they have often been ad hoc in nature, and there is a need to provide a princi pled theoretical foundation.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
Towards a Theory of Multimedia Database Systems.- 1. Introduction.- 2. Basic Ideas Underlying the Framework.- 3. Media Instances.- 4. Indexing Structures and a Query Language for Multimedia Systems.- 5. Multimedia Presentations.- 6. Related Work.- 7. Conclusions.- A Unified Approach to Data Modelling and Retrieval for a Class of Image Database Applications.- 1. Introduction.- 2. Approaches to Image Data Modeling.- 3. Requirements Analysis of Application Areas.- 4. Logical Representations.- 5. Motivations for the Proposed Data Model.- 6. An Overview of AIR Framework.- 7. Image Database Systems Based on AIR Model.- 8. Image Retrieval Applications Based on the Prototype Implementation of AIR Framework.- 9. Research Issues in AIR Framework.- 10. Conclusions and Future Direction.- A. Image Logical Structures.- The QBISM Medical Image DBMS.- 1. Introduction.- 2. The Medical Application.- 3. Logical Design.- 4. Physical Database Design.- 5. System Issues.- 6. Performance Experiments.- 7. Conclusions and Future Work.- Retrieval of Pictures Using Approximate Matching.- 1. Introduction.- 2. Picture Representation.- 3. User Interface.- 4. Computation of Similarity Values.- 5. Conclusion.- Ink as a First-Class Datatype in Multimedia Databases.- 1. Introduction.- 2. Ink as First-Class Data.- 3. Pictographic Naming.- 4. The ScriptSearch Algorithm.- 5. Searching Large Databases.- 6. Conclusions.- Indexing for Retrieval by Similarity.- 1. Introduction.- 2. Shape Matching.- 3. Word Matching.- 4. Discussion.- Filtering Distance Queries in Image Retrieval.- 1. Introduction.- 2. Spatial Access Methods and Image Retrieval.- 3. Snapshot.- 4. Filtering Metric Queries with Snapshot.- 5. Optimization of Spatial Queries.- 6. Conclusions and Future Work.- Stream-based Versus Structured Video Objects: Issues, Solutions, and Challenges.- 1. Introduction.- 2. Stream-based Presentation.- 3. Structured Presentation.- 4. Conclusion.- The Storage and Retrieval of Continuous Media Data.- 1. Introduction.- 2. Retrieving Continuous Media Data.- 3. Matrix-Based Allocation.- 4. Variable Disk Transfer Rates.- 5. Horizontal Partitioning.- 6. Vertical Partitioning.- 7. Related Work.- 8. Research Issues.- 9. Concluding Remarks.- Querying Multimedia Databases in SQL.- 1. Introduction.- 2. Automobile Multimedia Database Example.- 3. Logical Query Language.- 4. Querying Multimedia Databases in SQL.- 5. Expressing User Requests in SQL.- 6. Conclusions.- Multimedia Authoring Systems.- 1. Introduction.- 2. Underlying Technology.- 3. Sample Application - "Find-Movie".- 4. Multimedia Toolbook 3.0.- 5. IconAuthor 6.0.- 6. Director 4.0.- 7. MAS's and Current Technology.- 8. Conclusion.- Metadata for Building the Multimedia Patch Quilt.- 1. Introduction.- 2. Characterization of the Ontology.- 3. Construction and Design of Metadata.- 4. Association of Digital Media Data with Metadata.- 5. Conclusion.- Contributors.
Towards a Theory of Multimedia Database Systems.- 1. Introduction.- 2. Basic Ideas Underlying the Framework.- 3. Media Instances.- 4. Indexing Structures and a Query Language for Multimedia Systems.- 5. Multimedia Presentations.- 6. Related Work.- 7. Conclusions.- A Unified Approach to Data Modelling and Retrieval for a Class of Image Database Applications.- 1. Introduction.- 2. Approaches to Image Data Modeling.- 3. Requirements Analysis of Application Areas.- 4. Logical Representations.- 5. Motivations for the Proposed Data Model.- 6. An Overview of AIR Framework.- 7. Image Database Systems Based on AIR Model.- 8. Image Retrieval Applications Based on the Prototype Implementation of AIR Framework.- 9. Research Issues in AIR Framework.- 10. Conclusions and Future Direction.- A. Image Logical Structures.- The QBISM Medical Image DBMS.- 1. Introduction.- 2. The Medical Application.- 3. Logical Design.- 4. Physical Database Design.- 5. System Issues.- 6. Performance Experiments.- 7. Conclusions and Future Work.- Retrieval of Pictures Using Approximate Matching.- 1. Introduction.- 2. Picture Representation.- 3. User Interface.- 4. Computation of Similarity Values.- 5. Conclusion.- Ink as a First-Class Datatype in Multimedia Databases.- 1. Introduction.- 2. Ink as First-Class Data.- 3. Pictographic Naming.- 4. The ScriptSearch Algorithm.- 5. Searching Large Databases.- 6. Conclusions.- Indexing for Retrieval by Similarity.- 1. Introduction.- 2. Shape Matching.- 3. Word Matching.- 4. Discussion.- Filtering Distance Queries in Image Retrieval.- 1. Introduction.- 2. Spatial Access Methods and Image Retrieval.- 3. Snapshot.- 4. Filtering Metric Queries with Snapshot.- 5. Optimization of Spatial Queries.- 6. Conclusions and Future Work.- Stream-based Versus Structured Video Objects: Issues, Solutions, and Challenges.- 1. Introduction.- 2. Stream-based Presentation.- 3. Structured Presentation.- 4. Conclusion.- The Storage and Retrieval of Continuous Media Data.- 1. Introduction.- 2. Retrieving Continuous Media Data.- 3. Matrix-Based Allocation.- 4. Variable Disk Transfer Rates.- 5. Horizontal Partitioning.- 6. Vertical Partitioning.- 7. Related Work.- 8. Research Issues.- 9. Concluding Remarks.- Querying Multimedia Databases in SQL.- 1. Introduction.- 2. Automobile Multimedia Database Example.- 3. Logical Query Language.- 4. Querying Multimedia Databases in SQL.- 5. Expressing User Requests in SQL.- 6. Conclusions.- Multimedia Authoring Systems.- 1. Introduction.- 2. Underlying Technology.- 3. Sample Application - "Find-Movie".- 4. Multimedia Toolbook 3.0.- 5. IconAuthor 6.0.- 6. Director 4.0.- 7. MAS's and Current Technology.- 8. Conclusion.- Metadata for Building the Multimedia Patch Quilt.- 1. Introduction.- 2. Characterization of the Ontology.- 3. Construction and Design of Metadata.- 4. Association of Digital Media Data with Metadata.- 5. Conclusion.- Contributors.
Es gelten unsere Allgemeinen Geschäftsbedingungen: www.buecher.de/agb
Impressum
www.buecher.de ist ein Internetauftritt der Steintor 70. V V GmbH (zukünftig firmierend: buecher.de internetstores GmbH)
Geschäftsführung: Monica Sawhney | Roland Kölbl
Sitz der Gesellschaft: Hannover
Amtsgericht Hannover HRB 227001
Steuernummer: 321/neu