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After participation, the student will be able to understand the fundamentals of digital media (real and synthetic images, videos) and the processing chain of selected media types from recording over retrieval to displaying. Moreover, the student will learn the mixture of real and synthetic scenes in a studio scenario.

Fundamentals of multimedia information processing, information retrieval, fast text - and image retrieval, image creation, camera models and camera coordinates, relationship of world and pixel coordinates, camera calibration, Stereo camera systems, image synthesis, Rasterization of lines, geometric scene composition and modelling, polygon meshes, parametric curves and surfaces, B-splines, rendering of polygon meshes, rendering of parametric surfaces, local lighting models, rendering pipeline, image-based scene modelling, analog video, color television signals, color television norms, digital video.

Linear algebra, signal processing

Teaching and learning methods consist of presentations during the lecture and the exercises. Moreover, the students will improve their knowledge by use of scientific literature and implement selected concepts of the lecture using matlab during the voluntary project during the semester.

The final grade is composed of the following exam components: - 100 % final exam - 0.3 bonus received from accomplished matlab project during the semester, but only if final exam is passed

- R. Steinmetz, Multimedia-Technology Springer-Verlag, 3. überarb. Auflage, 2000. - Foley et al, Computer Graphics: Principles and Practice, Addison Wesley, zweite Auflage, 1995. - Manning et al., Introduction to Information Retrieval, Cambridge University Press, 2008. - U. Schmidt, Professionelle Videotechnik, Springer-Verlag, 2000.