CSC-456: Multimedia Database

Course Title: Multimedia Database

Course No: CSC-456
Credit hours  : 3


Nature of course: Theory (3 Hrs.) + Lab (3 Hrs.)


Course Synopsis: Advanced aspects of multimedia database, indexing and retrieval


Goal: To study advanced aspects of indexing, storage device, retrieval of multimedia information encompassing the principles, research results

and commercial application of the current technologies.





Course Contents:

Unit 1:    Multimedia introduction                                                                                        3 Hrs
Introduction to multimedia databases, issues related to multimedia data types, media types, text document information retrieval, indexing

Unit 2:    Multimedia Data types and formats                                                                     3 Hrs
Text, vector graphics and animation, digital images and digital video, major characteristics and requirements of multimedia data and applications


Unit 3:   Multimedia database design issues                                                                        2 Hrs
MIRS architecture, data models and user interface, User Interface design and feature Extraction,
Indexing and similarity measure


Unit 4:    Text Document Indexing and retrieval                                                                 5 Hrs
Automatic text document indexing and Boolean Retrieval model, Vector space retrieval model, probabilistic model and cluster-based retrieval

model, Nontraditional IR methods, Performance measurement, WWW search engines


Unit 5:   Indexing and retrieval of audio                                                                              2 Hrs
Audio properties and classification, Speech recognition and retrieval, Music indexing and retrieval

Unit 6:  Image Indexing and retrieval                                                                                  5 Hrs  
Colour –based image indexing and retrieval techniques, Image retrieval based on shape, on texture, Compressed image data, integrated image

indexing


Unit 7 :  Multimedia Indexing  and retrieval                                                                       5 Hrs
Video shot detection or segmentation, video indexing and retrieval, Video representation and abstraction, Architecture of multimedia

Information Management, user interface with example


Unit 8: Techniques and data structures for efficient multimedia similarity search        5 Hrs
Filter process, B+ and B trees, Clustering, Multidimensional B+ tree, K-d trees, Grid files, Tree family


Unit 9:  System support for distributed multimedia databases                                         5 Hrs  
QoS management, Design goals, Data storage devices and management, Data placement on disks, Disk scheduling and admission control, Server

configuration and network connection

Unit 10:   Multimedia computer architectures and operating system                               4 Hrs
Process architectures, Computer architectures, Design issues of MOS, QoS support, Multimedia networks, Transport protocols, Synchronous

presentation

Unit 11 :  Measurement of multimedia information retrieval effectiveness                     3 Hrs
Human Judgment data, Recall and precision pari, Percentage of Weighted Hits, Similarity Ranking, Factors affecting retrieval effectiveness

Unit 12:  Products, application and new development                                                        3 Hrs
Multimedia search engine, Digital libraries, Video –on-demand, Multimedia security, MPEG-7, Multimedia database applications


Laboratory work: There should be labs related to Multimedia Database


Reference books:
1.      Gunjoun  Lu, Multimedia database management systems
2.      G. Lu, Multimedia Database Management Systems, Artech House, 1999.
3.      T. Shih, Distributed Multimedia Databases: Techniques and Applications, IRM Press, 2002.
4.       V.S. Subrahmanian, Principles of Multimedia Database Systems, Morgan Kaufmann, 1998.