Lecture Language:
  • English
Hours (Lecture):
  • Mo 10:15-11:45 H6, Di 16:15-17:45 H1 (not 23.04.2019)
Hours (Exercise):
  • Fr 14:15 - 15:45, H6 (see StudOn)
Credit Points:
  • 5 ECTS
Time Lecture:
  • 3
Time Exercise:
  • 1

Content

  • The course introduces the basic concepts and algorithms for the encoding and transmission of video and video signals. First of all, the digital representation of video and video signals will be explained and essential features of human visual perception as news sinks will be presented. The principles of data compression through redundancy and irrelevance reduction and the typical algorithms for encoding video and video signals are discussed in detail. These include the design of quantizers using the example of Max-Lloyd optimal quantization, the entropy coding with the examples Huffman coding and arithmetic coding as well as run length coding. In addition, the basics of vector quantization and predictive coding are discussed. Methods of frequency domain decomposition are discussed using the example of transform coding and subband decomposition or wavelet analysis, as well as the principle of motion compensation and hybrid encoding of video signals. At the end, various current MPEG and ITU standards for encoding single and moving pictures are presented.

Dates and documents

  • You will find the dates as well as the documents for the lecture and exercise on StudOn.
  • The password will be announced in the first lecture.

Additional material

  • External References
    Thomas Wiegand, Gary Sullivan: Overview of the H.264 / AVC video coding standard