Couse Syllabus


Course Code : CSC729

Course Name (English) : ADVANCED MULTIMEDIA COMPUTING

Course Level : 7 - Masters Degree

SLT : 120 Hours

Equivalent to 3 Credits

Face to Face: 42 Hours

Non Face to Face: 78 Hours

Pre-Requisite Courses : No course recommendations

Course Learning Outcome
  1. Demonstrate the correct approach for managing digital data ( C3 )
  2. Analyze the management of the digital data during development and playback ( C4 )
  3. Interpret the multiple digital data into a multimedia application ( A4 )
Course DescriptionThis course prepares students with the underlying fundamentals of multimedia elements to build advanced multimedia computing applications comprising of images, videos, and audio. The course covers the important multimedia computing methods starting with digital data representation as well as examining the spatial and temporal data. This course will also discuss the data compression techniques which are important to make modern, portable and networked multimedia possible. Finally, it will also include the discussion on multimedia data retrieval and the multimedia networked technologies. By attending this course, the students will be exposed to the core techniques and emerging multimedia applications and will prepare them to formulate novel approaches for future multimedia computing applications.

Syllabus Content
  1. Digital Data
    • Media Representation and Media Format
    • Graphics and Image Data
    • Color Theory (Image and Video)
    • Video Concepts
    • Digital Audio
  2. Multimedia Data Compression
    • Lossless and Lossy Compression Algorithms
    • Image Compression Standards
    • Graphics Compression
    • Video Compression Techniques
    • Audio Compression Techniques
  3. Multimodal
    • Multimodal Integration
    • Image Compression Standards
    • Temporal & Spatial Synchronization
  4. Multimedia Communication
    • Computer and Multimedia Networks
    • Multimedia Network Communications And Applications
    • Wireless Multimedia Networking
  5. Multimedia Retrieval
    • Content-Based Retrieval
    • A Brief on Multimedia Database
    • Multimedia Data Mining
  6. Multimedia Security
    • Watermarking
    • Forensic
  7. Recent Trends in Multimedia
Teaching Methodologies:Discussion
Lectures

Assessment Assignment - 20%
Group Project - 40%
Individual Project - 20%
Test - 20%
No Final Exam

Text P. Venkata Krishna, Emerging Technologies and Applications for Cloud-based Gaming, n/a, 2016, ISBN: 1522505466

References
  1. Vic Costello, Multimedia Foundations, Focal Press, 2016, ISBN: 0415740029
  2. Gerald Friedland & Ramesh Jain, Multimedia Computing, Cambridge University Press, 2014, ISBN: n/a
  3. James J. Park, Young-Sik Jeong, Sang Oh Park, Hsing-Chung Chen, Embedded and Multimedia Computing Technology and Service, Springer, 2012, ISBN: n/a
  4. Feng Wu, Advances in Visual Data Compression and Communication, CRC Press, 2014, ISBN: 1482234130
  5. Rajiv Shah,Roger Zimmermann, Multimodal Analysis of User-Generated Multimedia Content, Springer, 2017, ISBN: 9783319618067
  6. Kazimierz Choro?,Marek Kopel,El?bieta Kukla,Andrzej Siemi?ski, Multimedia and Network Information Systems,Springer, 2018, ISBN: 3319986775
  7. B. Prabhakaran,Mohsen Kavehrad, Mobile Computing Environments for Multimedia Systems, Springer, 2012, ISBN:1461372984