Course details

Image and Video Compression

KOVe Acad. year 2014/2015 Winter semester 5 credits

Current academic year

Important methods for image and video coding and compression - IVC.

Guarantor

Drábek Vladimír, doc. Ing., CSc. (DCSY)

Language of instruction

English

Completion

Examination

Time span

Department

Department of Computer Systems (UPSY)

Subject specific learning outcomes and competences

Basic knowledge and abilities in image and video compression.

Basic knowledge and abilities in image and video compression.

Learning objectives

To give basic knowledge and abilities in image and video compression.

Prerequisite knowledge and skills

The mathematics and binary number system.

Study literature

    1. Lecture notes in pdf.
    2. David Salomon: Data Compression

Fundamental literature

    1. David Salomon: Data Compression, The Complete Reference, Second Edition, Springer 2000, ISBN 0-387-95045-1, Third Edition, Fourth Edition

Syllabus of seminars

Syllabus of lectures:
  1. Introduction to IVC
  2. Quantization
  3. Predictive coding
  4. Transform coding
  5. Discrete cosine transform
  6. JPEG
  7. Frame interpolation and motion estimation
  8. MPEG
  9. Wavelet transform
  10. JPEG 2000
  11. Wavelet scalar quantization, fingerprint compression
  12. 3D compression
  13. New trends

Syllabus - others, projects and individual work of students:
  1. Linear and adaptive predictors
  2. Conversion of image formats (GIF, Bitmap, etc.)
  3. Wavelet transform
  4. Generation of basic orthogonal functions for discrete cosine transformation
  5. Generation of basic orthogonal functions for Haar wavelets
  6. Distortion measures - mean absolute error, mean quadratic error, mean weight error, Holder norm

Progress assessment

Study evaluation is based on marks obtained for specified items. Minimimum number of marks to pass is 50.

Controlled instruction

Projects implementations 30 points, final examination70 points.

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