FI:PV188 Multimeda Processing - Course Information

PV188 Principles of Multimeda Processing and Transport

Extent and Intensity

2/0. 2 credit(s) (plus extra credits for completion). Type of Completion: zk (examination).

Teacher(s)

prof. RNDr. Luděk Matyska, CSc. (lecturer)
doc. RNDr. Eva Hladká, Ph.D. (lecturer)
RNDr. Miloš Liška, Ph.D. (lecturer)
Ing. Pavel Šiler (seminar tutor)

Guaranteed by

prof. RNDr. Václav Matyáš, M.Sc., Ph.D.
Department of Computer Systems and Communications – Faculty of Informatics

Timetable

Mon 16:00–17:50 A107

Course Enrolment Limitations

The course is also offered to the students of the fields other than those the course is directly associated with.

fields of study / plans the course is directly associated with

• Applied Informatics (programme FI, B-AP)
• Applied Informatics (programme FI, N-AP)
• Information Technology Security (programme FI, N-IN)
• Bioinformatics (programme FI, B-AP)
• Bioinformatics (programme FI, N-AP)
• Information Systems (programme FI, N-IN)
• Informatics with another discipline (programme FI, B-BI)
• Informatics with another discipline (programme FI, B-FY)
• Informatics with another discipline (programme FI, B-GE)
• Informatics with another discipline (programme FI, B-GK)
• Informatics with another discipline (programme FI, B-CH)
• Informatics with another discipline (programme FI, B-IO)
• Informatics with another discipline (programme FI, B-MA)
• Informatics with another discipline (programme FI, B-SO)
• Informatics with another discipline (programme FI, B-TV)
• Informatics (programme FI, B-IN)
• Informatics (programme FI, M-IN)
• Informatics (programme FI, N-IN)
• Mathematical Informatics (programme FI, B-IN)
• Parallel and Distributed Systems (programme FI, B-IN)
• Parallel and Distributed Systems (programme FI, N-IN)
• Computer Graphics and Image Processing (programme FI, B-IN)
• Computer Graphics (programme FI, N-IN)
• Computer Networks and Communication (programme FI, B-IN)
• Computer Networks and Communication (programme FI, N-IN)
• Computer Systems and Data Processing (programme FI, B-IN)
• Computer Systems (programme FI, N-IN)
• Embedded Systems (eng.) (programme FI, N-IN)
• Programmable Technical Structures (programme FI, B-IN)
• Theoretical Informatics (programme FI, N-IN)
• Upper Secondary School Teacher Training in Informatics (programme FI, M-SS)
• Upper Secondary School Teacher Training in Informatics (programme FI, M-TV)
• Upper Secondary School Teacher Training in Informatics (programme FI, N-SS) (2)
• Artificial Intelligence and Natural Language Processing (programme FI, B-IN)
• Artificial Intelligence and Natural Language Processing (programme FI, N-IN)
• Image Processing (programme FI, N-AP)

Course objectives

Taking this lecture, student gets overview in the area of multimedia processing and transfer through computer networks. Basic principles of audio and picture (including video) coding are presented, as well as basic transfer protocols and formats (H.323, SIP, H.261, H.263). Lecture also includes foundations of audio and video acquisition, including synchronization, cut and postproduction.

Syllabus

• Digital record
• Sampling and quantization principles
• Audio and its perception
• Special audio coding, MP3
• Video and its perception
• Fourier transformation, DCT, compression
• Video record formats, hw acquisition, codecs, envelope formats
• Video transport, unicast vs. multicast
• Formats H.261, H.263, H.323, SIP
• Audio and video conferences, streaming
• Audio acquisition, microphones
• Audio mixing, interconnection of components
• Video acquisition, cameras, lenses
• Camera manipulation
• Audio and video, synchronization, tricks
• Projection and sound system installation
• Digital video processing, cuts and postproduction
• Script, formats SMIL, MPEG7

Literature

• WEINSTEIN, Stephen. The Multimedia Internet (Information Technology: Transmission, Processing and Storage). Springer, 2005, 386 pp. ISBN 0387236813. info

Language of instruction

Czech

Further Comments

Study Materials
The course is taught annually.

• Enrolment Statistics (Autumn 2007, recent)
  
• Permalink: https://is.muni.cz/course/fi/autumn2007/PV188