course-details-portlet

TTT4135 - Multimedia Signal Processing

About

Examination arrangement

Examination arrangement: Aggregate score
Grade: Letter grades

Evaluation Weighting Duration Grade deviation Examination aids
School exam 40/100 2 hours A
Portfolio 60/100

Course content

The course treats multimedia presentations (speech, audio, images, video and interactivity) and their characteristics, perception of audio visual information as well as principles and methods for digital processing of audio visual information for representation, presentation and analysis of the different signal types. The main focus is on digital signal compression, multimedia systems, interactivity, estimation and detection using machine learning and multimedia presentations

Learning outcome

Learning goals: The subject shall provide an introduction to our perception of speech, audio, music, image and video to be able to understand advanced techniques, algorithms and concepts for digital processing of multimedia presentations. The processing will be highlighted by applications from multimedia systems.

Knowledge:

- understand different characterisations of sound and images in the time domain as well as in the frequency domain and their interrelationships ,

- understand human perception of sound and images,

- know the principles and technologies of compression algorithm for sound and images and their application in a digital system,

- know the principles and technologies for machine learning used on multimedia signals - know the principles and technologies of several important standards and their typical application scenarios and - strengthen the candidates methodology and technical insight within multimedia systems.

Skills:

- combine previous knowledge and skills within mathematics, statistics and programming with new theory to solve practical problems within sound and image processing,

- understand block diagrams for compression schemes for sound and image systems and understand signal decomposition, quantisation and coding within these and - understand estimation and detection of multimedia signal using machine learning.

- training in active use of the topic by analysing and understanding applications of multimedia signal processing within multimedia systems in addition to challenging their critical thinking and attitudes towards today`s established knowledge within the area.

General competencies:

- quality evaluations and use of sound and images in typical applications within entertainment and - when relevant the candidate shall be able to understand the topics in a broader technical, financial and commercial context and collaborate on solving a practical project.

Learning methods and activities

Lectures, mandatory exercises and computer exercises.

Further on evaluation

The grades in the subject are based on 2 parts: a final written exam (40%) and a portfolio (60%). The final written exam is letter graded. The portfolio includes 3 computer based assignments (20% each). Each of the 3 computer assignments requires the hand in of a report answering the theoretical answers and providing the computer generated result.

There are weekly scheduled tutorial times, where the students can meet the tutor and get feedback and help on the computer assignments. No other written feedback is given during the working period. After submission a written feedback is provided to the students together with the grade for the part. The assignment and all information on the hand in, tutoring and other information about the computer assignments are provided on the courses blackboard area.

The results for the parts are given in %-scores, while the entire portfolio is assigned a letter grade.

If there is a re-sit examination, the examination form may be changed from written to oral. If the exam is to be repeated, the whole course needs to be taken.

Course materials

Provided at course start.

Credit reductions

Course code Reduction From To
SIE2070 7.5
More on the course
Facts

Version: 1
Credits:  7.5 SP
Study level: Second degree level

Coursework

Term no.: 1
Teaching semester:  SPRING 2023

Language of instruction: English

Location: Trondheim

Subject area(s)
  • Applied Information and Communication Technology
  • Signal Processing
  • Communication and Information Science
  • Technological subjects
Contact information
Course coordinator: Lecturer(s):

Department with academic responsibility
Department of Electronic Systems

Examination

Examination arrangement: Aggregate score

Term Status code Evaluation Weighting Examination aids Date Time Examination system Room *
Spring ORD School exam 40/100 A INSPERA
Room Building Number of candidates
Spring ORD Portfolio 60/100
Room Building Number of candidates
Summer UTS School exam 40/100 A INSPERA
Room Building Number of candidates
  • * The location (room) for a written examination is published 3 days before examination date. If more than one room is listed, you will find your room at Studentweb.
Examination

For more information regarding registration for examination and examination procedures, see "Innsida - Exams"

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