CSC-415: Multimedia Database

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Course Title: Multimedia Database

Course no: CSC-415                                                                                                         Full Marks: 70+10+20

Credit hours: 3                                                                                                  Pass Marks: 28+4+8

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.

Media Types, Text Document Information Retrieval, Need for MIRS, Indexing

Unit 2. Multimedia Data Types and Formats:                                                                      3 Hrs.

Text, Vector Graphics and Animation, Audio, Digital Images, Digital Video, Major Characteristics and Requirements of Multimedia Data and Applications 

Unit 3. Multimedia Database Design Issues:                                                                       2 Hrs.

MIRS Architecture, Data Models, User Interface Design, 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 Retrieval Model, Cluster-Based Retrieval Model, Nontraditional IR methods, Performance measurement, WWW search engines

Unit 5. Indexing and Retrieval of Audio:                                                                                               2 Hrs.

Audio properties, classification, speech recognition and retrieval, music indexing and retrieval

Unit 6. Image Indexing and Retrieval:                                                                                    5 Hrs.

Color-Based Image Indexing and Retrieval Techniques, Image retrieval based on shape, on texture, Compressed image data, Integrated image indexing

Unit 7. Video Indexing and Retrieval:                                                                                    3 Hrs.

Video shot detection or segmentation, video indexing and retrieval, video representation and abstraction

Unit 8. Integrated Multimedia Indexing and Retrieval:                                                  2 Hrs.

Architecture of Multimedia Information Management, User Interface, Example Systems

Unit 9. 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 10. 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 11. Multimedia Computer Architectures and Operating System:                     5 Hrs.

Processor architectures, computer architectures, design issues of MOS, QoS support, Multimedia Networks, Transport Protocols, Synchronous presentation

Unit 12. Measurement of Multimedia Information Retrieval Effectiveness:        4 Hrs.

Humang Judgment Data, Recall and Precision Pari, Percentage of Weighted Hits, Similarity Ranking, Factors Affecting Retrieval Effectiveness

Unit 13. Products, Application and New Developments:                                                               4 Hrs.

Multimedia search engine, digital libraries, Video-on-demand, Multimedia Security, MPEG-7

Laboratory works:           Design and development of indexing and retrieval tools.

Text Books:        Multimedia Database Management Systems: Gunjoun Lu

Homework

Assignment:                      Assignment should be given throughout the semester.

Computer Usage:            No specific

Prerequisite:                     Non

Category Content:           Science Aspect:                25%

                                                Design Aspect:  75%