Data Compression
Code | Completion | Credits | Range | Language |
---|---|---|---|---|
MI-KOD.16 | Z,ZK | 5 | 2P+1C | Czech |
- Course guarantor:
- Lecturer:
- Tutor:
- Supervisor:
- Department of Theoretical Computer Science
- Synopsis:
-
Students are introduced to the basic principles of data compression. They will learn the necessary theoretical background and get an overview of data compression methods being used in practice. The overview covers principles of integer coding and of statistical, dictionary, and context data compression methods. In addition, students learn the fundamentals of lossy data compression methods used in image, audio, and video compression.
- Requirements:
-
Knowledge of basic data structures, fundamentals of computer programming, and theory of finite automata.
- Syllabus of lectures:
-
1. Introduction, entropy, models, elementary methods.
2. Coding of integers.
3. [2] Statistical methods: Shannon-Fano coding, Huffman coding, arithmetic coding.
4. [2] Dictionary methods: LZ77, LZ78, LZW.
5. [3] Context methods: PPM, DCA, ACB.
6. Burrows-Wheeler compression.
7. Pattern matching in a compressed text.
8. Word-based compression.
9. Introduction to lossy compression (image, audio, video).
- Syllabus of tutorials:
-
1. Entropy, models, elementary methods.
2. Coding of integers.
3. Statistical methods, Shannon-Fano coding, Huffman coding.
4. Statistical methods, Arithmetic coding.
5. Dictionary methods, LZ77, LZ78.
6. Dictionary methods, LZW.
7. Context methods, PPM.
8. Context methods, DCA.
9. Context methods, ACB.
10. Burrows-Wheeler compression.
11. Pattern matching in compressed text.
12. Word-based compression.
13. Introduction to lossy compression I (image, audio, video).
- Study Objective:
-
The course deals with elementary techniques of data compression. The introduction with theoretical background is followed by presentation of methods for coding integers and statistical, dictionary, and context data compression methods. The module ends with an introduction to lossy data compression used in image, audio, and video compression.
- Study materials:
-
1. Salomon, D., Motta, G., Bryant, D. ''Data Compression: The Complete Reference''. Springer, 2006. ISBN 1846286026.
- Note:
- Further information:
- https://courses.fit.cvut.cz/MI-KOD/
- No time-table has been prepared for this course
- The course is a part of the following study plans:
-
- Master branch Knowledge Engineering, in Czech, 2016-2017 (elective course)
- Master branch Computer Security, in Czech, 2016-2019 (elective course)
- Master branch Computer Systems and Networks, in Czech, 2016-2019 (elective course)
- Master branch Design and Programming of Embedded Systems, in Czech, 2016-2019 (elective course)
- Master branch Web and Software Engineering, spec. Info. Systems and Management, in Czech, 2016-2019 (elective course)
- Master branch Web and Software Engineering, spec. Software Engineering, in Czech, 2016-2019 (elective course)
- Master branch Web and Software Engineering, spec. Web Engineering, in Czech, 2016-2019 (elective course)
- Master program Informatics, unspecified branch, in Czech, version 2016-2019 (VO)
- Master branch System Programming, spec. System Programming, in Czech, 2016-2019 (compulsory course of the branch)
- Master branch System Programming, spec. Computer Science, in Czech, 2016-2017 (elective course)
- Master specialization Computer Science, in Czech, 2018-2019 (PS)
- Master branch Knowledge Engineering, in Czech, 2018-2019 (elective course)