CS403 15 CATS (7.5 ECTS) Term 1

Availability

Option - MEng Computer Science, MEng Computing Systems, MSc Computer Science and Applications

Prerequisites

CS118 Programming for Computer Scientists, and either CS131 Mathematics for Computer Scientists II or ES107 Mathematics for Engineers

Academic Aims

To provide students with an in-depth knowledge of digital multimedia storage and communications technologies: data acquisition, data compression, interpretation, presentation and interaction, and the emerging standards supporting them.

To give a students some practical experience of programming components of multimedia storage, processing and communications systems.

Learning Outcomes

By the end of this module, students will:

• understand the basic fundamentals of human sensory perception
• know the principles of digital data acquisition and presentation
• understand the principles of data compression, audio, speech and image interpretation
• be familiar with the emerging standards for digital data storage , compression and communications: JPEG, MPEG-X, MIDI, streaming protocols, etc.
• understand the fundamentals of query-based image and video retrieval systems.
• have practical experience of programming component elements of multimedia systems.

Content

Human sensory perception

• Audio, Visual perception
• Tactile perception

Acquisition and Presentation

• Digitisation and quantisation
• Interpolation
• Mathematics of basic signal processing

Processing

• Fundamentals of Signal and Image analysis
• Digital filtering and transforms
• Recognition and interpretation: speech, imagery, handwriting
• Data compression systems

Standards for storage, compression, communication and content description

• JPEG, MPEG, MP3
• Digital streaming protocols

Query-based Retrieval Systems

• Basics of image retrieval
• Applications

Practical work

• Matlab
• Simple audio and visual processing
• Data compression

Books

• Z-N Li and M. S. Drew. Fundamentals of Multimedia. Prentices Hall, 2004.
• R. C. Gonzalez and R. E. Woods. Digital Image Processing. 3rd Edition. Addison Wesley, 2007.
• R. C. Gonzalez and R. E. Woods and S. L. Eddins. Digital Image Processing using MATLAB(R). Adisson Wesley 2003.
• I. E. G. Richardshon. H.264 and MPEG-4 Video Compresson: Video Coding for Next Generation Multimedia. Wiley, 2003.
• M. Sonka and V. Hlavac and R. Boyle. Image Processing: Analysis and Machine Vision. PWS Publishing, 2nd Edition, 1999.

Online course material

http://www2.warwick.ac.uk/fac/sci/dcs/teaching/material/cs403

Assessment

Three hour examination (80%) assessed essay (20%)

Teaching

20 one-hour lectures plus 10 one-hour seminars; Some seminar sessions will be in-class discussions, others will be supervised 1 hour software practical sessions based on a self-taught on-line examples

Organisers

Abhir Bhalerao, Nasir Rajpoot and Graham Martin