Course detail

Multimedia

FEKT-MMUMAcad. year: 2019/2020

The course focuses in detail on the description of modern compression algorithms and methods used in image and video processing, description of security of multimedia content by means of watermarking techniques, description of principles of multimedia data transmission in IP networks, and description of the principles of indexing and retrieval in large multimedia databases.

Language of instruction

Czech

Number of ECTS credits

Mode of study

Not applicable.

Guarantor

doc. Ing. Petr Číka, Ph.D.

Department

Department of Telecommunications (UTKO)

Learning outcomes of the course unit

The students will acquire the knowledge of advanced methods of multimedia digital signal processing and methods of their delivery in heterogenous network environments, video signal compression, image transforms and multimedia databases.

Prerequisites

Knowledge on the Bachelor degree level and basic knowledge of image/video compression are required. Basic JAVA programming language knowledge is required.

Co-requisites

Not applicable.

Planned learning activities and teaching methods

Techning methods include lectures and computer laboratories. Course is taking advantage of e-learning (Moodle) system. Students have to write two projects/assignments during the course.

Assesment methods and criteria linked to learning outcomes

Evaluation of study results follows the Rules for Studies and Examinations of BUT and the Dean's Regulation complementing the Rules for Studies and Examinations of BUT. Up to 20 points are given for laboratory work. Up to 20 points are given for work on projects. Up to 60 points are awarded for the final examination.

Course curriculum

1. Outline - Multimedia data compression
2. Quality of multimedia data measurement, differential coding and quantization
3. Transform coding (DCT, DWT, DWHT)
4. Entropy coding I (Huffman, arithmetic and dictionary techniques)
5. Image compression standards
6. Digital Rights Management for images
7. Entropy coding II
8. Motion estimation and compensation in video sequences
9. Video compression standards I
10. Video compression standards II + Digital Rights Management for video sequences
11. Video streaming and distribution I
12. Video streaming and distribution II
13. Digital library

Work placements

Not applicable.

Aims

The aim of the course is to give students enough information to orient themselves in the field of image and video processing, security, transmission of multimedia data in IP networks, indexing and retrieval of multimedia data in multimedia databases.

Specification of controlled education, way of implementation and compensation for absences

The content and forms of instruction in the evaluated course are specified by a regulation issued by the lecturer responsible for the course and updated for every academic year.

Recommended optional programme components

Not applicable.

Prerequisites and corequisites

Not applicable.

Basic literature

ČÍKA, P. Zpracování multimediálních dat pro integrovanou výuku VUT a VŠB-TUO (skripta). 2014. ISBN: 978-80-214-5061- 5.
Richardson, E. G. H.264 and MPEG-4 Video Compression: Video Coding for Next-generation Multimedia (EN)
Salomon, D. Data Compression: The Complete Reference (EN)
Vít, V. Televizní technika 3 (CS)
Wooton, C. A Practical Guide to Video and Audio Compression (EN)

Recommended reading

Not applicable.

Elearning

eLearning: currently opened course

Classification of course in study plans

  • Programme IBEP-V Master's

    branch V-IBP , 1 year of study, summer semester, compulsory

  • Programme EEKR-M Master's

    branch M-MEL , 1 year of study, summer semester, elective interdisciplinary
    branch M-TIT , 1 year of study, summer semester, elective specialised

  • Programme EEKR-CZV lifelong learning

    branch EE-FLE , 1 year of study, summer semester, elective specialised

Type of course unit

 

Lecture

26 hod., optionally

Teacher / Lecturer

doc. Ing. Petr Číka, Ph.D.

Syllabus

1) Outline - Multimedia data compression
2) Quantization, prediction encoding
3) Motion estimation and compensation
4) Image transforms
5) Entropy encoding
6) SPIHT and EZW methods
7) JPEG and MPEG standards
8) MPEG-2 standard, Transport stream
9) MPEG-4 and H.264 standards
10) Image post processing – filtration
11) Digital watermarks in image and video
12) Multimedia databases (MPEG-7)
13) Multimedia protocols

Laboratory exercise

39 hod., compulsory

Teacher / Lecturer

doc. Ing. Petr Číka, Ph.D.

Syllabus

JAVA language is used in laboratories
DCT and its application at image compression
Haar transform of image data
Motion estimation(FULL SEARCH) error rate measurement
Motion estimation(THREE-STEP SEARCH) error rate measurement
Image information loss at quantisation
Entropy coding in video codecs

Elearning

eLearning: currently opened course