Course Catalog 2006-2007

SGN-5016 MULTIMEDIA SIGNAL PROCESSING, 4 cr
Multimedia Signal Processing

Courses persons responsible
Ireneusz Defee

Lecturers
Ireneusz Defee

Lecturetimes and places
Per IV: Tuesday 10 - 12, TB214
Per IV: Wednesday 10 - 12, TB214

Implementations
  Period 1 Period 2 Period 3 Period 4 Period 5 Summer
Lecture - - - 4 h/week - -
Exercise - - - 2 h/week - -
Assignment - - - 12 h/per - -
Exam  
(Timetable for academic year 2006-2007)

Objectives
Reviewing problems related to human information processing system and their relation to multimedia signal processing. Presentation of signal processing methods for multimedia information extraction and handling.

Content
Content Core content Complementary knowledge Specialist knowledge
1. Human perceptual input-output system and its properties, multimodal integration. Theories of higher-level cognitive processing. Selected pattern processing and recognition methods. Media interfaces, visual and acoustical input. MPEG-7 standard. Advanced image, video and audio compression. MPEG-4 full multimedia standard. Multimedia content security and watermarking methods.  Human sensory system and brain operation  Cognitive science 
2. Image processing methods for multimedia processing  Image processing methods  Advanced image processing 
3. Histogram and eigenfaces for multimedia database retrieval  Image compression  Signal and video compression 
4. MPEG-7 standard  Advanced signal, video and audio processing  Markup languages, XML 
5. Selected problems in multimedia information handling  Advanced signal processing  Cryptography 

Requirements for completing the course
Final examination, exercises and assignment.

Evaluation criteria for the course

  • Course is graded on the basis of answers to exam questions. Very good grade is obtained when exam questions are correctly answered and exercises are done. Course acceptance threshold is half of the maximum exam points. Volunteer and personal bonus work is prized with increasing the exam result by one grade if the threshold is passed.

  • Used assessment scale is numeric (1-5)

    • Study material
    Type Name Auhor ISBN URL Edition, availability... Exam material Language
    Lecture slides "Multimedia Signal Processing" Irek Defée       Yes  English 

    Prerequisites
    Code Course Credits M/R
    SGN-1107 SGN-1107 Introductory Signal Processing 4 Mandatory
    SGN-1200 SGN-1200 Signal Processing Methods 4 Mandatory
    SGN-1250 SGN-1250 Signal Processing Applications 4 Recommendable

    Prequisite relations (Sign up to TUT Intranet required)

    Additional information about prerequisites
    Either SGN-1107 or SGN-1200 is required.

    Remarks

  • The course is suitable for postgraduate studies.

    • Distance learning

  • ITC utilized during the course

    • - In compiling teaching material, particularly for online use or other electronic media
    - In compiling exercise, group or laboratory work

  • Estimate as a percentage of the implementation of the course

    • - Contact teaching: 50 %
    - Distance learning: 0 %
    - Proportion of a student's independent study: 50 %

  • Description of the course implementation from ICT point of view

    • Exercises 12h

    Scaling
    Methods of instructionHours
    Lectures 48
    Exercises 36
    Assignments 24
    Total sum 108

    Principles and starting points related to the instruction and learning of the course

  • Lectures, exercises and consultations

    • Correspondence of content
    8004053 Multimedia Signal Processing

    Course homepage

    Last modified 30.01.2007
    Modified byIreneusz Defee