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Lecturer(s)
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Course content
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Content of lectures: Introduction o Multimedia and their types and classification Digital signal processing o Sampling and quantization o AD / DA converters o Errors digitization (moire, noise ...) Sound processing o Lossless compression o Fourier transformation in sound o The frequency and temporal masking o Sound Transformations o Lossy compression algorithms Image processing o Color palette optimization o Lossless compression algorithms o Fourier transform discrete and continuous o Lossy compression algorithms o Convolution Transformations o Vector graphics Video Processing o Lossy compression video o Streaming Video o 3D video - formats Content of practicals: Seminar content thematically matches the structure of lectures. The main form of teaching the exploration and implementation of selected techniques from lectures using tools or custom implementations, including the use in larger projects.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Demonstration, Excursion, Practical training, Case studies
- Field trip
- 3 hours per semester
- Preparation for exam
- 26 hours per semester
- Preparation for classes
- 48 hours per semester
- Class attendance
- 56 hours per semester
- Semestral paper
- 26 hours per semester
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Learning outcomes
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The course focuses on the area of processing multimedia signals and data. Its aim is to introduce advanced techniques that are not presented to normal multimedia user, however, are crucial for work with them and usable also for other tasks. On the lectures will be discussed major topics of signal processing in general and audio, image and video processing. During the seminars students learn to use selected methods using the available prepared tools, or through implementation of selected methods, or using prepared solutions in larger projects. After completing the course, students will acquire knowledge necessary for a qualified work with multimedia data on both theoretical and practical level.
After completing the course, the student will acquire the knowledge necessary for qualified work with multimedia data, both on the theoretical and practical level. Students will be able to process this data at a higher level into multimedia products and at a lower level focused on particular data representation and manipulation with it.
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Prerequisites
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To complete the course, it is advisable to have basic knowledge programming.
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Assessment methods and criteria
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Written examination, Analysis of student's work activities (technical works), Seminar work, Interim evaluation
During the semester, students work on projects arising from the subject matter. The exam is evaluated on the basis of semester, semestral work and theoretical test. Terms of endings: Compleeting exercise projects (about 5 tasks) - 5 x 10 p. (min. 25 p.) Semestral work - 40 b. (min. 20 b.) Test - 30 p. (min. 15 p.)
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Recommended literature
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BOVIK, Alan C. Handbook of image and video processing. Academic Press, 2010.
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IFEACHOR, Emmanuel C.; JERVIS, Barrie W. Digital signal processing: a practical approach. Pearson Education, 2002.
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Informační zdroje na síti Internet. Vzhledem k častým obměnám budou konkrétní místa upřesněna při zahájení výuky předmětu..
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MADISETTI, Vijay. Digital signal processing fundamentals. CRC press, 2010.
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ŽÁRA, Jiří, et al. Moderní počítačová grafika. Computer press, 2005.
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Jelínek, J. Webové stránky předmětu v systému Moodle.
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Pohlmann, K. Principles of Digital Audio. New York, 2010.
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