Image and Video Compression

Module Number: EI7341

Duration: 1 Semester

Occurence: Summer semester

Language: English

Number of ECTS: 5

Staff

Professor in charge: Eckehard Steinbach

Amount of work

Contact hours: 60

Self-studying hours: 90

Total: 150

Description of achievement and assessment methods

Knowledge-based learning results are examined during a first written exam with 60 minutes duration after about half the lecture period and a second written (final) exam with 90 minutes duration

.For the first exam, participants need to be able to apply the discussed concepts for the lossless and lossy compression of random processes and in particular pictures. In the final exam, students need to show that they can design efficient algorithms and solve related problems for lossless and lossy compression of both still images and video

.The final grade is composed of the following elements:

• 30 % first exam
• 70 % final exam

Exam type: written

Exam duration: 60+90min.

Possibilityof re-taking: In the next semester: Yes At the end of the semester: No

Homework: No

Lecture: No

Conversation: No

Written paper: No

Recommended requirements

Linear Algebra, Digital Signal Processing, Information Theory, Analog and Digital Video Signals

The following modules should be passed before taking the course:

• Information Theory and Source Codin

It is recommended to take the following modules additionally: -

Contents

Theory and practice of digital still image and video compression. Detailed treatment of fundamental concepts and explanation of the relationship to specific algorithms employed in existing and emerging compression standards. Content: Motivation for image and video compression, review of important concepts from Information Theory, scalar and vector quantization, human visual perception, transform coding, resolution pyramids and subband coding, still image compression standards (JPEG, JPEG 2000), interframe coding, differential PCM, motion compensated prediction, video compression standards (H.26x, MPEG x).

Study goals

At the end of the module students are able to understand the information theoretic concepts of video coding. The students also gain a deep understanding of modern still image and video compression standards.

Teaching and learning methods

• Learning method: In addition to the individual methods of the students consolidated knowledge is aspired by repeated lessons in exercises and tutorials.
• Teaching method: During the lectures students are instructed in a teacher-centered style. The exercises are held in a student-centered way.

Media formats

The following kinds of media are used:

• Presentations
• Lecture notes
• Exercises with solutions as download

Literature

The following literature is recommended:

• D.S. Taubman, M.W. Marcellin, JPEG2000-Image Compression Fundamentals, Standards, and Practice, Kluwer Academic Publishers, 2002.
• Y. Wang, J. Osterman, Y. Zhang, Video Processing and Communications, Prentice-Hall, 2002.