Multimedia Database - Syllabus
Embark on a profound academic exploration as you delve into the Multimedia Database course () within the distinguished Tribhuvan university's CSIT department. Aligned with the 2065 Syllabus, this course (CSC-456) seamlessly merges theoretical frameworks with practical sessions, ensuring a comprehensive understanding of the subject. Rigorous assessment based on a 60 marks system, coupled with a challenging passing threshold of , propels students to strive for excellence, fostering a deeper grasp of the course content.
This 3 credit-hour journey unfolds as a holistic learning experience, bridging theory and application. Beyond theoretical comprehension, students actively engage in practical sessions, acquiring valuable skills for real-world scenarios. Immerse yourself in this well-structured course, where each element, from the course description to interactive sessions, is meticulously crafted to shape a well-rounded and insightful academic experience.
To study advanced aspects of indexing, storage device, retrieval of multimedia
information encompassing the principles, research results and commercial application of
the current technologies.
Units
Introduction to multimedia database, issues related to multimedia data types, media types, text document information retrieval, indexing.
Multimedia Data types and formats
Text, Vector graphics and animation, digital images and digital video, major characteristics and requirement of multimedia data and applications
Multimedia database design issues
MIRS architecture, data models and user interface, User interface design and feature Extraction, indexing and similarity measures
Text Document Indexing and retrieval
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
Indexing and retrieval of audio
Audio properties and classification, Speech recognition and retrieval, Music indexing and retrieval
Image Indexing and retrieval
Color-based image indexing and retrieval techniques, Image retrieval based on shape, on texture, Compressed image data, integrated image indexing
Multimedia Indexing and retrieval
Video shot detection or segmentation, video indexing and retrieval, Video representation and abstraction, Architecture of multimedia information management, user interface with example
Techniques and data structures for efficient multimedia similarity search
Filter process, B+ and B trees, Clustering, Multidimensional B+ tree, K-d trees, Grid files, Tree family
System support for distributed multimedia databases
QoS management , Design goals, Data storage devices and management , Data placement on disks, Disks scheduling and admission control, Server configuration and network connection
Multimedia computer architecture and operating systems
Process architecture, Computer architecture, Design issues of MOS, QoS support, Multimedia network, Transport protocols, Synchronous presentation
Measurement of multimedia information retrieval effectiveness
Human Judgment data, Recall and precision pari, Percentage of weighted Hits, Similarity Ranking, Factors affecting retrieval effectiveness
Products, application and new development
Multimedia search engine, Digital libraries, Video- on-demand, Multimedia security, MPEG- 7, Multimedia database applications
Lab works
There should be labs related to Multimedia Database.